googleapis--mcp-toolbox/docs/en/integrations/bigquery/tools/bigquery-conversational-analytics.md

title, type, weight, description

title	type	weight	description
bigquery-conversational-analytics	docs	1	A "bigquery-conversational-analytics" tool allows conversational interaction with a BigQuery source.

About

A bigquery-conversational-analytics tool allows you to ask questions about your data in natural language.

This function takes a user's question (which can include conversational history for context) and references to specific BigQuery tables, and sends them to a stateless conversational API.

The API uses a GenAI agent to understand the question, generate and execute SQL queries and Python code, and formulate an answer. This function returns a detailed, sequential log of this entire process, which includes any generated SQL or Python code, the data retrieved, and the final text answer.

Note: This tool requires additional setup in your project. Please refer to the official Conversational Analytics API documentation for instructions.

bigquery-conversational-analytics accepts the following parameters:

• user_query_with_context: The user's question, potentially including conversation history and system instructions for context.
• table_references: A JSON string of a list of BigQuery tables to use as context. Each object in the list must contain projectId, datasetId, and tableId. Example: '[{"projectId": "my-gcp-project", "datasetId": "my_dataset", "tableId": "my_table"}]'

The tool's behavior regarding these parameters is influenced by the allowedDatasets restriction on the bigquery source:

• Without allowedDatasets restriction: The tool can use tables from any dataset specified in the table_references parameter.
• With allowedDatasets restriction: Before processing the request, the tool verifies that every table in table_references belongs to a dataset in the allowed list. If any table is from a dataset that is not in the list, the request is denied.

Compatible Sources

{{< compatible-sources >}}

Example

kind: tool
name: ask_data_insights
type: bigquery-conversational-analytics
source: my-bigquery-source
description: |
  Use this tool to perform data analysis, get insights, or answer complex 
  questions about the contents of specific BigQuery tables.

Reference

field	type	required	description
type	string	true	Must be "bigquery-conversational-analytics".
source	string	true	Name of the source for chat.
description	string	true	Description of the tool that is passed to the LLM.