> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-docs-scavio-google-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Structured Output Strict Tools

> Combine a strict-mode Function schema with a Pydantic output_schema so Claude validates both the tool input and the final response.

Example demonstrating strict tool use with Anthropic structured outputs.

```python structured_output_strict_tools.py theme={null}
"""Example demonstrating strict tool use with Anthropic structured outputs.

Strict tool use ensures that tool parameters strictly follow the input_schema.
"""

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools import Function
from pydantic import BaseModel

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


class WeatherInfo(BaseModel):
    """Structured output schema for weather information."""

    location: str
    temperature: float
    unit: str
    condition: str


def get_weather(location: str, unit: str = "celsius") -> str:
    temp = 72 if unit == "fahrenheit" else 22
    return f"Weather in {location}: {temp}°{unit}, Sunny"


# Create function with strict mode enabled
weather_tool = Function(
    name="get_weather",
    description="Get current weather information for a location",
    parameters={
        "type": "object",
        "properties": {
            "location": {
                "type": "string",
                "description": "The city and state, e.g. San Francisco, CA",
            },
            "unit": {
                "type": "string",
                "enum": ["celsius", "fahrenheit"],
                "description": "Temperature unit",
            },
        },
        "required": ["location"],
        "additionalProperties": False,
    },
    strict=True,  # Enable strict mode for validated tool parameters
    entrypoint=get_weather,
)

# Agent with both structured outputs and strict tool
agent = Agent(
    model=Claude(id="claude-sonnet-4-5-20250929"),
    tools=[weather_tool],
    output_schema=WeatherInfo,
    description="You help users get weather information.",
)

# The agent will use strict tool validation and return structured output
agent.print_response("What's the weather like in San Francisco?")

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno anthropic
    ```
  </Step>

  <Step title="Export your Anthropic API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `structured_output_strict_tools.py`, then run:

    ```bash theme={null}
    python structured_output_strict_tools.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/anthropic/structured\_output\_strict\_tools.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/anthropic/structured_output_strict_tools.py)