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Tutorials AI Agents and Automation Tool Use and Function Calling

Tool Use and Function Calling

5 min read Quiz at the end
Define tools with JSON schemas — LLMs select and call them, you execute and feed results back.

Tool Use and Function Calling

import anthropic, json

client = anthropic.Anthropic()

tools = [
    {
        "name": "search_web",
        "description": "Search the internet for current information",
        "input_schema": {
            "type": "object",
            "properties": {
                "query": {"type":"string","description":"Search query"}
            },
            "required": ["query"]
        }
    },
    {
        "name": "run_python",
        "description": "Execute Python code and return output",
        "input_schema": {
            "type": "object",
            "properties": {
                "code": {"type":"string","description":"Python code to execute"}
            },
            "required": ["code"]
        }
    }
]

response = client.messages.create(
    model="claude-opus-4-5",
    max_tokens=1024,
    tools=tools,
    messages=[{"role":"user","content":"Search for Python 3.13 new features"}]
)

for block in response.content:
    if block.type == "tool_use":
        print(f"Tool: {block.name}")
        print(f"Input: {block.input}")
        # Execute tool and feed result back