🛠️ Function-to-Tool Converter

Turn any well-typed Python function into a structured tool description — perfect for AI agents, function-calling models, and LLM-powered applications.

This tool takes your function and extracts:

• 🔍 Function name
• 🧾 Docstring as description
• 🧩 Parameters and types (with default values)
• 📤 Return type
• 🧠 Outputs a standardized tool summary for use with agents

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🌐 Live Demo

Paste your Python function and convert it instantly into a structured tool description.

🚀 Try it live

🧠 Why This Matters

Modern LLM agents (like those powered by OpenAI, LangChain, LlamaIndex, and more) require well-structured metadata about tools they can use. This app helps bridge that gap between raw Python and AI usability.

It’s especially useful for:

• Tool registration with OpenAI Function Calling or LangChain
• Building self-documenting APIs
• Teaching LLMs to understand your code dynamically

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📽️ Demo

Here’s a quick walkthrough of what the tool can do:

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✨ Features

• Paste a function with @tool decorator
• Click "Convert" to extract a tool summary
• Optional syntax highlighting
• Built-in example functions
• Copy-ready output for your AI agent

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📦 Example Input

@tool
def get_weather(city: str, units: str = "metric") -> dict:
    """Fetch the current weather for a given city using METAR data.

    Units can be 'metric' or 'imperial'.
    """
    ...