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

# Single Tool Call Reliability Evaluation

> Assert a single expected tool call and validate its arguments with expected_tool_call_arguments.

Demonstrates reliability checks for one expected tool call, including argument validation.

```python calculator.py theme={null}
"""
Single Tool Call Reliability Evaluation
=======================================

Demonstrates reliability checks for one expected tool call,
including argument validation.
"""

from typing import Optional

from agno.agent import Agent
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.agent import RunOutput
from agno.tools.calculator import CalculatorTools


# ---------------------------------------------------------------------------
# Create Evaluation Functions
# ---------------------------------------------------------------------------
def factorial():
    agent = Agent(
        model=OpenAIChat(id="gpt-5.2"),
        tools=[CalculatorTools()],
    )
    response: RunOutput = agent.run("What is 10! (ten factorial)?")
    evaluation = ReliabilityEval(
        name="Tool Call Reliability",
        agent_response=response,
        expected_tool_calls=["factorial"],
    )
    result: Optional[ReliabilityResult] = evaluation.run(print_results=True)
    if result:
        result.assert_passed()


def multiply_with_argument_check():
    """Verify that the tool was called with the correct arguments."""
    agent = Agent(
        model=OpenAIChat(id="gpt-5.2"),
        tools=[CalculatorTools()],
    )
    response: RunOutput = agent.run("What is 10 * 5?")
    evaluation = ReliabilityEval(
        name="Tool Call Argument Validation",
        agent_response=response,
        expected_tool_calls=["multiply"],
        expected_tool_call_arguments={
            "multiply": {"a": 10, "b": 5},
        },
    )
    result: Optional[ReliabilityResult] = evaluation.run(print_results=True)
    if result:
        result.assert_passed()


# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    factorial()
    multiply_with_argument_check()
```

## 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 `calculator.py`, then run:

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

Full source: [cookbook/09\_evals/reliability/single\_tool\_calls/calculator.py](https://github.com/agno-agi/agno/blob/main/cookbook/09_evals/reliability/single_tool_calls/calculator.py)