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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

210 lines
6.9 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for MCP tool conversion utilities."""
from __future__ import annotations
from unittest import mock
from google.adk.tools.base_tool import BaseTool
from google.adk.tools.mcp_tool.conversion_utils import adk_to_mcp_tool_type
from google.genai import types
import mcp.types as mcp_types
class TestAdkToMcpToolType:
"""Tests for adk_to_mcp_tool_type function."""
def test_tool_with_no_declaration(self):
"""Test conversion when tool has no declaration."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "test_tool"
mock_tool.description = "Test tool"
mock_tool._get_declaration.return_value = None
result = adk_to_mcp_tool_type(mock_tool)
assert isinstance(result, mcp_types.Tool)
assert result.name == "test_tool"
assert result.description == "Test tool"
assert result.inputSchema == {}
def test_tool_with_parameters_schema(self):
"""Test conversion when tool has parameters Schema object."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "get_weather"
mock_tool.description = "Gets weather information"
declaration = types.FunctionDeclaration(
name="get_weather",
description="Gets weather information",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"location": types.Schema(
type=types.Type.STRING,
description="The location to get weather for",
),
"units": types.Schema(
type=types.Type.STRING,
description="Temperature units",
),
},
required=["location"],
),
)
mock_tool._get_declaration.return_value = declaration
result = adk_to_mcp_tool_type(mock_tool)
assert isinstance(result, mcp_types.Tool)
assert result.name == "get_weather"
assert result.description == "Gets weather information"
assert "type" in result.inputSchema
assert result.inputSchema["type"] == "object"
assert "properties" in result.inputSchema
assert "location" in result.inputSchema["properties"]
assert "units" in result.inputSchema["properties"]
assert result.inputSchema["properties"]["location"]["type"] == "string"
assert "required" in result.inputSchema
assert "location" in result.inputSchema["required"]
def test_tool_with_parameters_json_schema(self):
"""Test conversion when tool has parameters_json_schema."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "search_database"
mock_tool.description = "Searches a database"
json_schema = {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The search query",
},
"limit": {
"type": "integer",
"description": "Maximum number of results",
},
},
"required": ["query"],
}
declaration = types.FunctionDeclaration(
name="search_database",
description="Searches a database",
parameters_json_schema=json_schema,
)
mock_tool._get_declaration.return_value = declaration
result = adk_to_mcp_tool_type(mock_tool)
assert isinstance(result, mcp_types.Tool)
assert result.name == "search_database"
assert result.description == "Searches a database"
# Should use the JSON schema directly
assert result.inputSchema == json_schema
def test_tool_with_no_parameters(self):
"""Test conversion when tool has declaration but no parameters."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "get_current_time"
mock_tool.description = "Gets the current time"
declaration = types.FunctionDeclaration(
name="get_current_time",
description="Gets the current time",
)
mock_tool._get_declaration.return_value = declaration
result = adk_to_mcp_tool_type(mock_tool)
assert isinstance(result, mcp_types.Tool)
assert result.name == "get_current_time"
assert result.description == "Gets the current time"
assert not result.inputSchema
def test_tool_prefers_json_schema_over_parameters(self):
"""Test that parameters_json_schema is preferred over parameters."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "test_tool"
mock_tool.description = "Test tool"
json_schema = {
"type": "object",
"properties": {
"json_param": {"type": "string"},
},
}
# Create a declaration with BOTH parameters and parameters_json_schema
declaration = types.FunctionDeclaration(
name="test_tool",
description="Test tool",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"schema_param": types.Schema(type=types.Type.STRING),
},
),
parameters_json_schema=json_schema,
)
mock_tool._get_declaration.return_value = declaration
result = adk_to_mcp_tool_type(mock_tool)
# Should use parameters_json_schema, not parameters
assert result.inputSchema == json_schema
assert "json_param" in result.inputSchema["properties"]
assert "schema_param" not in result.inputSchema["properties"]
def test_tool_with_complex_nested_schema(self):
"""Test conversion with complex nested parameters_json_schema."""
mock_tool = mock.Mock(spec=BaseTool)
mock_tool.name = "create_user"
mock_tool.description = "Creates a new user"
json_schema = {
"type": "object",
"properties": {
"username": {"type": "string"},
"profile": {
"type": "object",
"properties": {
"email": {"type": "string"},
"age": {"type": "integer"},
"tags": {
"type": "array",
"items": {"type": "string"},
},
},
"required": ["email"],
},
},
"required": ["username", "profile"],
}
declaration = types.FunctionDeclaration(
name="create_user",
description="Creates a new user",
parameters_json_schema=json_schema,
)
mock_tool._get_declaration.return_value = declaration
result = adk_to_mcp_tool_type(mock_tool)
assert isinstance(result, mcp_types.Tool)
assert result.inputSchema == json_schema