Function Schemas

Master the art of defining tool interfaces for AI agents

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Introduction

What Are Function Schemas?

Function schemas are the interface definitions that tell AI agents how to use your tools. They're like API documentation that machines can understand and follow.

🔍Interactive Schema Explorer

Click each schema to see its structure

📋 Basic Function

Simple function with minimal parameters

{
  "name": "get_weather",
  "description": "Get current weather",
  "parameters": {
    "location": "string"
  }
}

💡 Key Features:

• Name: Identifies the function

• Description: Explains what it does

• Parameters: Defines expected inputs

🎯 Why Function Schemas Matter

🤖

Agent Understanding

Schemas help agents know what tools exist and how to use them correctly

✅

Type Safety

Prevent errors by validating inputs before execution

📚

Self-Documentation

Schemas serve as always-updated documentation

🔄

Interoperability

Standard formats work across different AI platforms

📖 What You'll Learn

✓JSON Schema fundamentals and syntax

✓Parameter type definitions and constraints

✓Validation rules for reliable schemas

✓Platform-specific schema formats (OpenAI, Anthropic)

✓Best practices for maintainable schemas

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