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

# Cache Tool Calls

> Combine cache_results and stop_after_tool_call on a @tool-decorated function.

```python cache_tool_calls.py theme={null}
"""
Cache Tool Calls
=============================

Demonstrates cache tool calls.
"""

import json

import httpx
from agno.agent import Agent
from agno.tools import tool

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


@tool(stop_after_tool_call=True, cache_results=True)
def get_top_hackernews_stories(num_stories: int = 5) -> str:
    # Fetch top story IDs
    response = httpx.get("https://hacker-news.firebaseio.com/v0/topstories.json")
    story_ids = response.json()

    # Yield story details
    stories = []
    for story_id in story_ids[:num_stories]:
        story_response = httpx.get(
            f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json"
        )
        story = story_response.json()
        if "text" in story:
            story.pop("text", None)
        stories.append(json.dumps(story))

    return "\n".join(stories)


agent = Agent(
    tools=[get_top_hackernews_stories],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("What are the top hackernews stories?", stream=True)
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

Save the code above as `cache_tool_calls.py`, then run:

```bash theme={null}
python cache_tool_calls.py
```

Full source: [cookbook/91\_tools/tool\_decorator/cache\_tool\_calls.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/tool_decorator/cache_tool_calls.py)


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