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# Licensed under the Apache License, Version 2.0 (the "License");
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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kind: source
name: cloudsql-pg-source
type: cloud-sql-postgres
project: ${CLOUD_SQL_POSTGRES_PROJECT}
region: ${CLOUD_SQL_POSTGRES_REGION}
instance: ${CLOUD_SQL_POSTGRES_INSTANCE}
database: ${CLOUD_SQL_POSTGRES_DATABASE}
user: ${CLOUD_SQL_POSTGRES_USER:}
password: ${CLOUD_SQL_POSTGRES_PASSWORD:}
ipType: ${CLOUD_SQL_POSTGRES_IP_TYPE:public}
---
kind: source
name: cloud-sql-admin-source
type: cloud-sql-admin
defaultProject: ${CLOUD_SQL_POSTGRES_PROJECT:}
---
kind: source
name: cloud-monitoring-source
type: cloud-monitoring
---
kind: tool
name: execute_sql
type: postgres-execute-sql
source: cloudsql-pg-source
description: Use this tool to execute a single SQL statement.
---
kind: tool
name: list_tables
type: postgres-list-tables
source: cloudsql-pg-source
description: Lists detailed schema information (object type, columns, constraints, indexes, triggers, owner, comment) as JSON for user-created tables (ordinary or partitioned). Filters by a comma-separated list of names. If names are omitted, lists all tables in user schemas.
---
kind: tool
name: list_active_queries
type: postgres-list-active-queries
source: cloudsql-pg-source
description: List the top N (default 50) currently running queries (state='active') from pg_stat_activity, ordered by longest-running first. Returns pid, user, database, application_name, client_addr, state, wait_event_type/wait_event, backend/xact/query start times, computed query_duration, and the SQL text.
---
kind: tool
name: list_available_extensions
type: postgres-list-available-extensions
source: cloudsql-pg-source
description: Discover all PostgreSQL extensions available for installation on this server, returning name, default_version, and description.
---
kind: tool
name: list_installed_extensions
type: postgres-list-installed-extensions
source: cloudsql-pg-source
description: List all installed PostgreSQL extensions with their name, version, schema, owner, and description.
---
kind: tool
name: long_running_transactions
type: postgres-long-running-transactions
source: cloudsql-pg-source
description: Identifies and lists database transactions that exceed a specified time limit. For each of the long running transactions, the output contains the process id, database name, user name, application name, client address, state, connection age, transaction age, query age, last activity age, wait event type, wait event, and query string.
---
kind: tool
name: list_locks
type: postgres-list-locks
source: cloudsql-pg-source
description: Identifies all locks held by active processes showing the process ID, user, query text, and an aggregated list of all transactions and specific locks (relation, mode, grant status) associated with each process.
---
kind: tool
name: replication_stats
type: postgres-replication-stats
source: cloudsql-pg-source
description: Lists each replica's process ID, user name, application name, backend_xmin (standby's xmin horizon reported by hot_standby_feedback), client IP address, connection state, and sync_state, along with lag sizes in bytes for sent_lag (primary to sent), write_lag (sent to written), flush_lag (written to flushed), replay_lag (flushed to replayed), and the overall total_lag (primary to replayed).
---
kind: tool
name: list_autovacuum_configurations
type: postgres-sql
source: cloudsql-pg-source
description: List PostgreSQL autovacuum-related configurations (name and current setting) from pg_settings.
statement: |
  SELECT name,
      setting
  FROM   pg_settings
  WHERE  category = 'Autovacuum';
---
kind: tool
name: list_memory_configurations
type: postgres-sql
source: cloudsql-pg-source
description: List PostgreSQL memory-related configurations (name and current setting) from pg_settings.
statement: |
  (
      SELECT
      name,
      pg_size_pretty((setting::bigint * 1024)::bigint) setting
      FROM pg_settings
      WHERE name IN ('work_mem', 'maintenance_work_mem')
  )
  UNION ALL
  (
      SELECT
      name,
      pg_size_pretty((((setting::bigint) * 8) * 1024)::bigint)
      FROM pg_settings
      WHERE name IN ('shared_buffers', 'wal_buffers', 'effective_cache_size', 'temp_buffers')
  )
  ORDER BY 1 DESC;
---
kind: tool
name: list_top_bloated_tables
type: postgres-sql
source: cloudsql-pg-source
description: |
  List the top tables by dead-tuple (approximate bloat signal), returning schema, table, live/dead tuples, percentage, and last vacuum/analyze times.
statement: |
  SELECT
      schemaname AS schema_name,
      relname AS relation_name,
      n_live_tup AS live_tuples,
      n_dead_tup AS dead_tuples,
      TRUNC((n_dead_tup::NUMERIC / NULLIF(n_live_tup + n_dead_tup, 0)) * 100, 2) AS dead_tuple_percentage,
      last_vacuum,
      last_autovacuum,
      last_analyze,
      last_autoanalyze
  FROM pg_stat_user_tables
  ORDER BY n_dead_tup DESC
  LIMIT COALESCE($1::int, 50);
parameters:
- name: limit
  description: The maximum number of results to return.
  type: integer
  default: 50
---
kind: tool
name: list_replication_slots
type: postgres-sql
source: cloudsql-pg-source
description: List key details for all PostgreSQL replication slots (e.g., type, database, active status) and calculates the size of the outstanding WAL that is being prevented from removal by the slot.
statement: |
  SELECT
  slot_name,
  slot_type,
  plugin,
  database,
  temporary,
  active,
  restart_lsn,
  confirmed_flush_lsn,
  xmin,
  catalog_xmin,
  pg_size_pretty(pg_wal_lsn_diff(pg_current_wal_lsn(), restart_lsn)) AS retained_wal
  FROM pg_replication_slots;
---
kind: tool
name: list_invalid_indexes
type: postgres-sql
source: cloudsql-pg-source
description: Lists all invalid PostgreSQL indexes which are taking up disk space but are unusable by the query planner. Typically created by failed CREATE INDEX CONCURRENTLY operations.
statement: |
  SELECT
      nspname AS schema_name,
      indexrelid::regclass AS index_name,
      indrelid::regclass AS table_name,
      pg_size_pretty(pg_total_relation_size(indexrelid)) AS index_size,
      indisready,
      indisvalid,
      pg_get_indexdef(pg_class.oid) AS index_def
  FROM pg_index
  JOIN pg_class ON pg_class.oid = pg_index.indexrelid
  JOIN pg_namespace ON pg_namespace.oid = pg_class.relnamespace
  WHERE indisvalid = FALSE;
---
kind: tool
name: get_query_plan
type: postgres-sql
source: cloudsql-pg-source
description: Generate a PostgreSQL EXPLAIN plan in JSON format for a single SQL statement—without executing it. This returns the optimizer's estimated plan, costs, and rows (no ANALYZE, no extra options). Do not use this tool in production as it is prone to SQL injection risks.
statement: |
  EXPLAIN (FORMAT JSON) {{.query}};
templateParameters:
- name: query
  type: string
  description: The SQL statement for which you want to generate plan (omit the EXPLAIN keyword).
  required: true
---
kind: tool
name: list_views
type: postgres-list-views
source: cloudsql-pg-source
---
kind: tool
name: list_schemas
type: postgres-list-schemas
source: cloudsql-pg-source
---
kind: tool
name: database_overview
type: postgres-database-overview
source: cloudsql-pg-source
---
kind: tool
name: list_triggers
type: postgres-list-triggers
source: cloudsql-pg-source
---
kind: tool
name: list_indexes
type: postgres-list-indexes
source: cloudsql-pg-source
---
kind: tool
name: list_sequences
type: postgres-list-sequences
source: cloudsql-pg-source
---
kind: tool
name: list_query_stats
type: postgres-list-query-stats
source: cloudsql-pg-source
---
kind: tool
name: get_column_cardinality
type: postgres-get-column-cardinality
source: cloudsql-pg-source
---
kind: tool
name: list_table_stats
type: postgres-list-table-stats
source: cloudsql-pg-source
---
kind: tool
name: list_publication_tables
type: postgres-list-publication-tables
source: cloudsql-pg-source
---
kind: tool
name: list_tablespaces
type: postgres-list-tablespaces
source: cloudsql-pg-source
---
kind: tool
name: list_pg_settings
type: postgres-list-pg-settings
source: cloudsql-pg-source
---
kind: tool
name: list_database_stats
type: postgres-list-database-stats
source: cloudsql-pg-source
---
kind: tool
name: list_roles
type: postgres-list-roles
source: cloudsql-pg-source
---
kind: tool
name: list_stored_procedure
type: postgres-list-stored-procedure
source: cloudsql-pg-source
---
kind: tool
name: list_databases
type: cloud-sql-list-databases
source: cloud-sql-admin-source
---
kind: tool
name: create_backup
type: cloud-sql-create-backup
source: cloud-sql-admin-source
---
kind: tool
name: postgres_upgrade_precheck
type: postgres-upgrade-precheck
source: cloud-sql-admin-source
---
kind: tool
name: create_instance
type: cloud-sql-postgres-create-instance
source: cloud-sql-admin-source
---
kind: tool
name: wait_for_operation
type: cloud-sql-wait-for-operation
source: cloud-sql-admin-source
multiplier: 4
---
kind: tool
name: get_system_metrics
type: cloud-monitoring-query-prometheus
source: cloud-monitoring-source
description: |
  Fetches system level cloudmonitoring data (timeseries metrics) for a Postgres instance using a PromQL query. Take projectId and instanceId from the user for which the metrics timeseries data needs to be fetched.
  To use this tool, you must provide the Google Cloud `projectId` and a PromQL `query`.
  
  Generate PromQL `query` for Postgres system metrics. Use the provided metrics and rules to construct queries, Get the labels like `instance_id` from user intent.
  
  Defaults:
  1. Interval: Use a default interval of `5m` for `_over_time` aggregation functions unless a different window is specified by the user.
  
  PromQL Query Examples:
  1. Basic Time Series: `avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m])`
  2. Top K: `topk(30, avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  3. Mean: `avg(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  4. Minimum: `min(min_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  5. Maximum: `max(max_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  6. Sum: `sum(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  7. Count streams: `count(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  8. Percentile with groupby on database_id: `quantile by ("database_id")(0.99,avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))`
  
  Available Metrics List: metricname. description. monitored resource. labels. database_id is actually the instance id and the format is `project_id:instance_id`. 
  1. `cloudsql.googleapis.com/database/postgresql/new_connection_count`: Count of new connections added to the postgres instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
  2. `cloudsql.googleapis.com/database/postgresql/backends_in_wait`: Number of backends in wait in postgres instance. `cloudsql_database`. `backend_type`, `wait_event`, `wait_event_type`, `project_id`, `database_id`.
  3. `cloudsql.googleapis.com/database/postgresql/transaction_count`: Delta count of number of transactions. `cloudsql_database`. `database`, `transaction_type`, `project_id`, `database_id`.
  4. `cloudsql.googleapis.com/database/memory/components`: Memory stats components in percentage as usage, cache and free memory for the database. `cloudsql_database`. `component`, `project_id`, `database_id`.
  5. `cloudsql.googleapis.com/database/postgresql/external_sync/max_replica_byte_lag`: Replication lag in bytes for Postgres External Server (ES) replicas. Aggregated across all DBs on the replica. `cloudsql_database`. `project_id`, `database_id`.
  6. `cloudsql.googleapis.com/database/cpu/utilization`: Current CPU utilization represented as a percentage of the reserved CPU that is currently in use. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0). Charts display the values as a percentage between 0% and 100% (or more). `cloudsql_database`. `project_id`, `database_id`.
  7. `cloudsql.googleapis.com/database/disk/bytes_used_by_data_type`: Data utilization in bytes. `cloudsql_database`. `data_type`, `project_id`, `database_id`.
  8. `cloudsql.googleapis.com/database/disk/read_ops_count`: Delta count of data disk read IO operations. `cloudsql_database`. `project_id`, `database_id`.
  9. `cloudsql.googleapis.com/database/disk/write_ops_count`: Delta count of data disk write IO operations. `cloudsql_database`. `project_id`, `database_id`.
  10. `cloudsql.googleapis.com/database/postgresql/num_backends_by_state`: Number of connections to the Cloud SQL PostgreSQL instance, grouped by its state. `cloudsql_database`. `database`, `state`, `project_id`, `database_id`.
  11. `cloudsql.googleapis.com/database/postgresql/num_backends`: Number of connections to the Cloud SQL PostgreSQL instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
  12. `cloudsql.googleapis.com/database/network/received_bytes_count`: Delta count of bytes received through the network. `cloudsql_database`. `project_id`, `database_id`.
  13. `cloudsql.googleapis.com/database/network/sent_bytes_count`: Delta count of bytes sent through the network. `cloudsql_database`. `destination`, `project_id`, `database_id`.
  14. `cloudsql.googleapis.com/database/postgresql/deadlock_count`: Number of deadlocks detected for this database. `cloudsql_database`. `database`, `project_id`, `database_id`.
  15. `cloudsql.googleapis.com/database/postgresql/blocks_read_count`: Number of disk blocks read by this database. The source field distingushes actual reads from disk versus reads from buffer cache. `cloudsql_database`. `database`, `source`, `project_id`, `database_id`.
  16. `cloudsql.googleapis.com/database/postgresql/tuples_processed_count`: Number of tuples(rows) processed for a given database for operations like insert, update or delete. `cloudsql_database`. `operation_type`, `database`, `project_id`, `database_id`.
  17. `cloudsql.googleapis.com/database/postgresql/tuple_size`: Number of tuples (rows) in the database. `cloudsql_database`. `database`, `tuple_state`, `project_id`, `database_id`.
  18. `cloudsql.googleapis.com/database/postgresql/vacuum/oldest_transaction_age`: Age of the oldest transaction yet to be vacuumed in the Cloud SQL PostgreSQL instance, measured in number of transactions that have happened since the oldest transaction. `cloudsql_database`. `oldest_transaction_type`, `project_id`, `database_id`.
  19. `cloudsql.googleapis.com/database/replication/log_archive_success_count`: Number of successful attempts for archiving replication log files. `cloudsql_database`. `project_id`, `database_id`.
  20. `cloudsql.googleapis.com/database/replication/log_archive_failure_count`: Number of failed attempts for archiving replication log files. `cloudsql_database`. `project_id`, `database_id`.
  21. `cloudsql.googleapis.com/database/postgresql/transaction_id_utilization`: Current utilization represented as a percentage of transaction IDs consumed by the Cloud SQL PostgreSQL instance. Values are typically numbers between 0.0 and 1.0. Charts display the values as a percentage between 0% and 100% . `cloudsql_database`. `project_id`, `database_id`.
  22. `cloudsql.googleapis.com/database/postgresql/num_backends_by_application`: Number of connections to the Cloud SQL PostgreSQL instance, grouped by applications. `cloudsql_database`. `application`, `project_id`, `database_id`.
  23. `cloudsql.googleapis.com/database/postgresql/tuples_fetched_count`: Total number of rows fetched as a result of queries per database in the PostgreSQL instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
  24. `cloudsql.googleapis.com/database/postgresql/tuples_returned_count`: Total number of rows scanned while processing the queries per database in the PostgreSQL instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
  25. `cloudsql.googleapis.com/database/postgresql/temp_bytes_written_count`: Total amount of data (in bytes) written to temporary files by the queries per database. `cloudsql_database`. `database`, `project_id`, `database_id`.
  26. `cloudsql.googleapis.com/database/postgresql/temp_files_written_count`: Total number of temporary files used for writing data while performing algorithms such as join and sort. `cloudsql_database`. `database`, `project_id`, `database_id`.
---
kind: tool
name: restore_backup
type: cloud-sql-restore-backup
source: cloud-sql-admin-source
---
kind: tool
name: list_instances
type: cloud-sql-list-instances
source: cloud-sql-admin-source
---
kind: tool
name: create_database
type: cloud-sql-create-database
source: cloud-sql-admin-source
---
kind: tool
name: create_user
type: cloud-sql-create-users
source: cloud-sql-admin-source
---
kind: tool
name: get_query_metrics
type: cloud-monitoring-query-prometheus
source: cloud-monitoring-source
description: |
  Fetches query level cloudmonitoring data (timeseries metrics) for queries running in Postgres instance using a PromQL query. Take projectID and instanceID from the user for which the metrics timeseries data needs to be fetched.
  To use this tool, you must provide the Google Cloud `projectId` and a PromQL `query`.
  
  Generate PromQL `query` for Postgres query metrics. Use the provided metrics and rules to construct queries, Get the labels like `instance_id`, `query_hash` from user intent. If query_hash is provided then use the per_query metrics. Query hash and query id are same.
  
  Defaults:
  1. Interval: Use a default interval of `5m` for `_over_time` aggregation functions unless a different window is specified by the user.
  
  PromQL Query Examples:
  1. Basic Time Series: `avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m])`
  2. Top K: `topk(30, avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  3. Mean: `avg(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  4. Minimum: `min(min_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  5. Maximum: `max(max_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  6. Sum: `sum(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  7. Count streams: `count(avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  8. Percentile with groupby on resource_id, database: `quantile by ("resource_id","database")(0.99,avg_over_time({"__name__"="cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))`
  
  Available Metrics List: metricname. description. monitored resource. labels. resource_id label format is `project_id:instance_id` which is actually instance id only. aggregate is the aggregated values for all query stats, Use aggregate metrics if query id is not provided. For perquery metrics do not fetch querystring unless specified by user specifically. Have the aggregation on query hash to avoid fetching the querystring. Do not use latency metrics for anything.
  1. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/latencies`: Aggregated query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
  2. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time`: Accumulated aggregated query execution time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
  3. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/io_time`: Accumulated aggregated IO time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `io_type`, `project_id`, `resource_id`.
  4. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/lock_time`: Accumulated aggregated lock wait time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `lock_type`, `project_id`, `resource_id`.
  5. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/row_count`: Aggregated number of retrieved or affected rows since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
  6. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/shared_blk_access_count`: Aggregated shared blocks accessed by statement execution. `cloudsql_instance_database`. `user`, `client_addr`, `access_type`, `project_id`, `resource_id`.
  7. `cloudsql.googleapis.com/database/postgresql/insights/perquery/latencies`: Per query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  8. `cloudsql.googleapis.com/database/postgresql/insights/perquery/execution_time`: Accumulated execution times per user per database per query. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  9. `cloudsql.googleapis.com/database/postgresql/insights/perquery/io_time`: Accumulated IO time since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `io_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  10. `cloudsql.googleapis.com/database/postgresql/insights/perquery/lock_time`: Accumulated lock wait time since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `lock_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  11. `cloudsql.googleapis.com/database/postgresql/insights/perquery/row_count`: The number of retrieved or affected rows since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  12. `cloudsql.googleapis.com/database/postgresql/insights/perquery/shared_blk_access_count`: Shared blocks accessed by statement execution per query. `cloudsql_instance_database`. `user`, `client_addr`, `access_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
  13. `cloudsql.googleapis.com/database/postgresql/insights/pertag/latencies`: Query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `tag_hash`, `project_id`, `resource_id`.
  14. `cloudsql.googleapis.com/database/postgresql/insights/pertag/execution_time`: Accumulated execution times since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `tag_hash`, `project_id`, `resource_id`.
  15. `cloudsql.googleapis.com/database/postgresql/insights/pertag/io_time`: Accumulated IO time since the last sample per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `io_type`, `tag_hash`, `project_id`, `resource_id`.
  16. `cloudsql.googleapis.com/database/postgresql/insights/pertag/lock_time`: Accumulated lock wait time since the last sample per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `lock_type`, `tag_hash`, `project_id`, `resource_id`.
  17. `cloudsql.googleapis.com/database/postgresql/insights/pertag/shared_blk_access_count`: Shared blocks accessed by statement execution per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `access_type`, `tag_hash`, `project_id`, `resource_id`.
  18. `cloudsql.googleapis.com/database/postgresql/insights/pertag/row_count`: The number of retrieved or affected rows since the last sample per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `tag_hash`, `project_id`, `resource_id`.
---
kind: tool
name: clone_instance
type: cloud-sql-clone-instance
source: cloud-sql-admin-source
---
kind: tool
name: get_instance
type: cloud-sql-get-instance
source: cloud-sql-admin-source
---
kind: tool
name: define_spec
type: vector-assist-define-spec
source: cloudsql-pg-source
---
kind: tool
name: modify_spec
type: vector-assist-modify-spec
source: cloudsql-pg-source
---
kind: tool
name: apply_spec
type: vector-assist-apply-spec
source: cloudsql-pg-source
---
kind: tool
name: generate_query
type: vector-assist-generate-query
source: cloudsql-pg-source
---
kind: tool
name: delete_spec
type: vector-assist-delete-spec
source: cloudsql-pg-source
---
kind: tool
name: list_specs
type: vector-assist-list-specs
source: cloudsql-pg-source
---
kind: tool
name: get_spec
type: vector-assist-get-spec
source: cloudsql-pg-source
---
kind: tool
name: improve_query_recall
type: vector-assist-improve-query-recall
source: cloudsql-pg-source
---
kind: toolset
name: admin
tools:
- create_instance
- get_instance
- list_instances
- create_database
- list_databases
- create_user
- wait_for_operation
- clone_instance
---
kind: toolset
name: lifecycle
tools:
- create_backup
- restore_backup
- postgres_upgrade_precheck
- wait_for_operation
- database_overview
- get_instance
- list_instances
---
kind: toolset
name: data
tools:
- execute_sql
- list_tables
- list_views
- list_schemas
- list_triggers
- list_indexes
- list_sequences
- list_stored_procedure
---
kind: toolset
name: monitor
tools:
- get_system_metrics
- get_query_metrics
- list_query_stats
- get_query_plan
- list_database_stats
- list_active_queries
- long_running_transactions
- list_locks
---
kind: toolset
name: health
tools:
- list_top_bloated_tables
- list_invalid_indexes
- list_table_stats
- get_column_cardinality
- list_autovacuum_configurations
- list_tablespaces
- database_overview
- list_pg_settings
---
kind: toolset
name: view-config
tools:
- list_available_extensions
- list_installed_extensions
- list_memory_configurations
- list_pg_settings
- database_overview
- get_instance
---
kind: toolset
name: replication
tools:
- replication_stats
- list_replication_slots
- list_publication_tables
- list_roles
- list_pg_settings
- database_overview
---
kind: toolset
name: vectorassist
tools:
- execute_sql
- define_spec
- modify_spec
- apply_spec
- generate_query
- improve_query_recall
- list_specs
- get_spec
- delete_spec