> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Tool-Using Agent-as-Judge Evaluation

> Score a CalculatorTools agent's math answer on step-by-step clarity with numeric AgentAsJudgeEval.

Demonstrates judging responses generated by an agent using tools.

```python agent_as_judge_with_tools.py theme={null}
"""
Tool-Using Agent-as-Judge Evaluation
====================================

Demonstrates judging responses generated by an agent using tools.
"""

from typing import Optional

from agno.agent import Agent
from agno.eval.agent_as_judge import AgentAsJudgeEval, AgentAsJudgeResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[CalculatorTools()],
    instructions="Use the calculator tools to solve math problems. Explain your reasoning and show calculation steps clearly.",
)

# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
evaluation = AgentAsJudgeEval(
    name="Calculator Tool Usage Quality",
    model=OpenAIChat(id="gpt-5.2"),
    criteria="Response should clearly explain the calculation process, show intermediate steps, and present the final answer in a user-friendly way",
    scoring_strategy="numeric",
    threshold=7,
)

# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    response = agent.run("What is 15 * 23 + 47?")
    result: Optional[AgentAsJudgeResult] = evaluation.run(
        input="What is 15 * 23 + 47?",
        output=str(response.content),
        print_results=True,
    )
    assert result is not None, "Evaluation should return a result"
```

## Run the Example

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

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

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

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

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

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

Full source: [cookbook/09\_evals/agent\_as\_judge/agent\_as\_judge\_with\_tools.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/09_evals/agent_as_judge/agent_as_judge_with_tools.py)