> ## 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.

# Team Tool Metrics

> Demonstrates metrics for teams where members use tools.

Demonstrates metrics for teams where members use tools. Shows leader metrics, member metrics, and tool execution timing.

```python team_tool_metrics.py theme={null}
"""
Team Tool Metrics
=============================

Demonstrates metrics for teams where members use tools.
Shows leader metrics, member metrics, and tool execution timing.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.yfinance import YFinanceTools
from rich.pretty import pprint

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
stock_searcher = Agent(
    name="Stock Searcher",
    model=OpenAIChat(id="gpt-4o-mini"),
    role="Searches for stock information.",
    tools=[YFinanceTools()],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
    name="Stock Research Team",
    model=OpenAIChat(id="gpt-4o-mini"),
    members=[stock_searcher],
    markdown=True,
    show_members_responses=True,
    store_member_responses=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_output = team.run("What is the stock price of NVDA?")

    # Team leader run metrics
    print("=" * 50)
    print("TEAM LEADER RUN METRICS")
    print("=" * 50)
    pprint(run_output.metrics)

    # Member-level run metrics and tool calls
    print("=" * 50)
    print("MEMBER RUN METRICS")
    print("=" * 50)
    if run_output.member_responses:
        for member_response in run_output.member_responses:
            print(f"\nMember: {member_response.agent_name}")
            print("-" * 40)
            pprint(member_response.metrics)

            if member_response.tools:
                print(f"\nTool calls ({len(member_response.tools)}):")
                for tool_call in member_response.tools:
                    print(f"  Tool: {tool_call.tool_name}")
                    if tool_call.metrics:
                        pprint(tool_call.metrics)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai yfinance
    ```
  </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 `team_tool_metrics.py`, then run:

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

Full source: [cookbook/03\_teams/22\_metrics/04\_team\_tool\_metrics.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/22_metrics/04_team_tool_metrics.py)