Raise error when trying to use Google built-in tools with user/output tools

docs/builtin-tools.md

@@ -1,10 +1,10 @@
 # Builtin Tools
 
-Builtin tools are native tools provided by LLM providers that can be used to enhance your agent's capabilities. Unlike [common tools](common-tools.md), which are custom implementations that PydanticAI executes, builtin tools are executed directly by the model provider.
+Builtin tools are native tools provided by LLM providers that can be used to enhance your agent's capabilities. Unlike [common tools](common-tools.md), which are custom implementations that Pydantic AI executes, builtin tools are executed directly by the model provider.
 
 ## Overview
 
-PydanticAI supports the following builtin tools:
+Pydantic AI supports the following builtin tools:
 
 - **[`WebSearchTool`][pydantic_ai.builtin_tools.WebSearchTool]**: Allows agents to search the web
 - **[`CodeExecutionTool`][pydantic_ai.builtin_tools.CodeExecutionTool]**: Enables agents to execute code in a secure environment
@@ -13,7 +13,9 @@ PydanticAI supports the following builtin tools:
 These tools are passed to the agent via the `builtin_tools` parameter and are executed by the model provider's infrastructure.
 
 !!! warning "Provider Support"
-    Not all model providers support builtin tools. If you use a builtin tool with an unsupported provider, PydanticAI will raise a [`UserError`][pydantic_ai.exceptions.UserError] when you try to run the agent.
+    Not all model providers support builtin tools. If you use a builtin tool with an unsupported provider, Pydantic AI will raise a [`UserError`][pydantic_ai.exceptions.UserError] when you try to run the agent.
+
+    If a provider supports a built-in tool that is not currently supported by Pydantic AI, please file an issue.
 
 ## Web Search Tool
 
@@ -26,16 +28,13 @@ making it ideal for queries that require up-to-date data.
 |----------|-----------|-------|
 | OpenAI | ✅ | Full feature support |
 | Anthropic | ✅ | Full feature support |
-| Groq | ✅ | Limited parameter support |
-| Google | ✅ | No parameter support |
+| Groq | ✅ | Limited parameter support. To use web search capabilities with Groq, you need to use the [compound models](https://console.groq.com/docs/compound). |
+| Google | ✅ | No parameter support. Google does not support using built-in tools and user tools (including [output tools](output.md#tool-output)) at the same time. To use structured output, use [`PromptedOutput`](output.md#prompted-output) instead. |
 | Bedrock | ❌ | Not supported |
 | Mistral | ❌ | Not supported |
 | Cohere | ❌ | Not supported |
 | HuggingFace | ❌ | Not supported |
 
-!!! note "Groq Support"
-    To use web search capabilities with Groq, you need to use the [compound models](https://console.groq.com/docs/compound).
-
 ### Usage
 
 ```py title="web_search_basic.py"
@@ -97,16 +96,16 @@ in a secure environment, making it perfect for computational tasks, data analysi
 
 ### Provider Support
 
-| Provider | Supported |
-|----------|-----------|
-| OpenAI | ✅ |
-| Anthropic | ✅ |
-| Google | ✅ |
-| Groq | ❌ |
-| Bedrock | ❌ |
-| Mistral | ❌ |
-| Cohere | ❌ |
-| HuggingFace | ❌ |
+| Provider | Supported | Notes |
+|----------|-----------|-------|
+| OpenAI | ✅ | |
+| Anthropic | ✅ | Google does not support using built-in tools and user tools (including [output tools](output.md#tool-output)) at the same time. To use structured output, use [`PromptedOutput`](output.md#prompted-output) instead. |
+| Google | ✅ | |
+| Groq | ❌ | |
+| Bedrock | ❌ | |
+| Mistral | ❌ | |
+| Cohere | ❌ | |
+| HuggingFace | ❌ | |
 
 ### Usage
 
@@ -126,16 +125,16 @@ allowing it to pull up-to-date information from the web.
 
 ### Provider Support
 
-| Provider | Supported |
-|----------|-----------|
-| Google | ✅ |
-| OpenAI | ❌ |
-| Anthropic | ❌ |
-| Groq | ❌ |
-| Bedrock | ❌ |
-| Mistral | ❌ |
-| Cohere | ❌ |
-| HuggingFace | ❌ |
+| Provider | Supported | Notes |
+|----------|-----------|-------|
+| Google | ✅ | Google does not support using built-in tools and user tools (including [output tools](output.md#tool-output)) at the same time. To use structured output, use [`PromptedOutput`](output.md#prompted-output) instead. |
+| OpenAI | ❌ | |
+| Anthropic | ❌ | |
+| Groq | ❌ | |
+| Bedrock | ❌ | |
+| Mistral | ❌ | |
+| Cohere | ❌ | |
+| HuggingFace | ❌ | |
 
 ### Usage
 

pydantic_ai_slim/pydantic_ai/models/gemini.py

@@ -211,7 +211,9 @@ async def _make_request(
         generation_config = _settings_to_generation_config(model_settings)
         if model_request_parameters.output_mode == 'native':
             if tools:
-                raise UserError('Gemini does not support structured output and tools at the same time.')
+                raise UserError(
+                    'Gemini does not support `NativeOutput` and tools at the same time. Use `output_type=ToolOutput(...)` instead.'
+                )
 
             generation_config['response_mime_type'] = 'application/json'
 

pydantic_ai_slim/pydantic_ai/models/google.py

@@ -264,6 +264,14 @@ async def request_stream(
         yield await self._process_streamed_response(response, model_request_parameters)  # type: ignore
 
     def _get_tools(self, model_request_parameters: ModelRequestParameters) -> list[ToolDict] | None:
+        if model_request_parameters.builtin_tools:
+            if model_request_parameters.output_tools:
+                raise UserError(
+                    'Gemini does not support output tools and built-in tools at the same time. Use `output_type=PromptedOutput(...)` instead.'
+                )
+            if model_request_parameters.function_tools:
+                raise UserError('Gemini does not support user tools and built-in tools at the same time.')
+
         tools: list[ToolDict] = [
             ToolDict(function_declarations=[_function_declaration_from_tool(t)])
             for t in model_request_parameters.tool_defs.values()
@@ -334,7 +342,9 @@ async def _build_content_and_config(
         response_schema = None
         if model_request_parameters.output_mode == 'native':
             if tools:
-                raise UserError('Gemini does not support structured output and tools at the same time.')
+                raise UserError(
+                    'Gemini does not support `NativeOutput` and tools at the same time. Use `output_type=ToolOutput(...)` instead.'
+                )
             response_mime_type = 'application/json'
             output_object = model_request_parameters.output_object
             assert output_object is not None

tests/models/cassettes/test_google/test_google_builtin_tools_with_other_tools.yaml

@@ -0,0 +1,73 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - '*/*'
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '526'
+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+    method: POST
+    parsed_body:
+      contents:
+      - parts:
+        - text: What is the largest city in Mexico?
+        role: user
+      generationConfig: {}
+      systemInstruction:
+        parts:
+        - text: |-
+            Always respond with a JSON object that's compatible with this schema:
+
+            {"properties": {"city": {"type": "string"}, "country": {"type": "string"}}, "required": ["city", "country"], "title": "CityLocation", "type": "object"}
+
+            Don't include any text or Markdown fencing before or after.
+        role: user
+      tools:
+      - urlContext: {}
+    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent
+  response:
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-length:
+      - '626'
+      content-type:
+      - application/json; charset=UTF-8
+      server-timing:
+      - gfet4t7; dur=780
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+    parsed_body:
+      candidates:
+      - content:
+          parts:
+          - text: '{"city": "Mexico City", "country": "Mexico"}'
+          role: model
+        finishReason: STOP
+        groundingMetadata: {}
+        index: 0
+      modelVersion: gemini-2.5-flash
+      responseId: 6Xq3aPnXNtqKqtsP8ZuDyAc
+      usageMetadata:
+        candidatesTokenCount: 13
+        promptTokenCount: 83
+        promptTokensDetails:
+        - modality: TEXT
+          tokenCount: 83
+        thoughtsTokenCount: 33
+        totalTokenCount: 129
+    status:
+      code: 200
+      message: OK
+version: 1

tests/models/test_gemini.py

@@ -4,6 +4,7 @@
 
 import datetime
 import json
+import re
 from collections.abc import AsyncIterator, Callable, Sequence
 from dataclasses import dataclass
 from datetime import timezone
@@ -1868,7 +1869,12 @@ class CityLocation(BaseModel):
     async def get_user_country() -> str:
         return 'Mexico'  # pragma: no cover
 
-    with pytest.raises(UserError, match='Gemini does not support structured output and tools at the same time.'):
+    with pytest.raises(
+        UserError,
+        match=re.escape(
+            'Gemini does not support `NativeOutput` and tools at the same time. Use `output_type=ToolOutput(...)` instead.'
+        ),
+    ):
         await agent.run('What is the largest city in the user country?')
 
 

tests/models/test_google.py

@@ -2,6 +2,7 @@
 
 import datetime
 import os
+import re
 from typing import Any
 
 import pytest
@@ -1418,7 +1419,12 @@ class CityLocation(BaseModel):
     async def get_user_country() -> str:
         return 'Mexico'  # pragma: no cover
 
-    with pytest.raises(UserError, match='Gemini does not support structured output and tools at the same time.'):
+    with pytest.raises(
+        UserError,
+        match=re.escape(
+            'Gemini does not support `NativeOutput` and tools at the same time. Use `output_type=ToolOutput(...)` instead.'
+        ),
+    ):
         await agent.run('What is the largest city in the user country?')
 
 
@@ -1787,3 +1793,37 @@ def test_map_usage():
             },
         )
     )
+
+
+async def test_google_builtin_tools_with_other_tools(allow_model_requests: None, google_provider: GoogleProvider):
+    m = GoogleModel('gemini-2.5-flash', provider=google_provider)
+
+    agent = Agent(m, builtin_tools=[UrlContextTool()])
+
+    @agent.tool_plain
+    async def get_user_country() -> str:
+        return 'Mexico'  # pragma: no cover
+
+    with pytest.raises(
+        UserError,
+        match=re.escape('Gemini does not support user tools and built-in tools at the same time.'),
+    ):
+        await agent.run('What is the largest city in the user country?')
+
+    class CityLocation(BaseModel):
+        city: str
+        country: str
+
+    agent = Agent(m, output_type=ToolOutput(CityLocation), builtin_tools=[UrlContextTool()])
+
+    with pytest.raises(
+        UserError,
+        match=re.escape(
+            'Gemini does not support output tools and built-in tools at the same time. Use `output_type=PromptedOutput(...)` instead.'
+        ),
+    ):
+        await agent.run('What is the largest city in Mexico?')
+
+    agent = Agent(m, output_type=PromptedOutput(CityLocation), builtin_tools=[UrlContextTool()])
+    result = await agent.run('What is the largest city in Mexico?')
+    assert result.output == snapshot(CityLocation(city='Mexico City', country='Mexico'))