Building Custom Tools

Master tool design, implementation, testing, and deployment for production AI agents

Designing Effective Tool Interfaces

Good tool design is like good API design: clear, predictable, and hard to misuse. Before writing a single line of code, you must define how agents will interact with your tool.

Interactive: Design Process

Step through the tool design process

Define Purpose
What problem does this tool solve?
Example:
Fetch customer purchase history from internal database
Key Considerations:
Clear, specific objective
Single responsibility
Well-defined scope

Design Principles

📝
Descriptive Names
Use get_user_by_email not fetch
🎯
Single Responsibility
Each tool does ONE thing well, not multiple things poorly
🔒
Type Safety
Strongly typed parameters with validation prevent runtime errors
📋
Clear Documentation
Description tells agents WHEN and HOW to use the tool

Good vs Bad Design

send_email
✓ Good Design
Send email to specified recipient
{ "to": "string", "subject": "string", "body": "string" }
✗ Bad Design
Send message
{ "data": "object" }
get_weather
✓ Good Design
Get current weather for a city
{ "city": "string", "units": "celsius | fahrenheit (optional)" }
✗ Bad Design
Weather
{ "input": "any" }