Learning/AI Agents — Complete Guide/Lesson 8
Chapter 3·Lesson 2 of 3·10 min

Tool calling

Tool schemas

Create strict, understandable schemas for model-requested actions.

Lesson overview

Tool schemas

A schema is a contract between the model and your application. Use enums, required fields, bounded numbers, and precise descriptions.

A good schema reduces ambiguity, but it does not replace validation. The executor must validate every argument again.

Learning path

Theory → Example → Code → Practice → Quiz → Challenge → Completion

0/6 done

Step 1

Theory

Tool schemas

A schema is a contract between the model and your application. Use enums, required fields, bounded numbers, and precise descriptions.

A good schema reduces ambiguity, but it does not replace validation. The executor must validate every argument again.

Step 2

Example

Example

Apply Tool schemas to a realistic production scenario and trace the decision step by step.

Step 3

Code

Code

Add implementation notes or a runnable example for this concept.

Step 4

Practice

Practice

Write down the inputs, expected output, constraints, and one failure case for Tool schemas.

Step 5

Quiz

Quiz coming soon.

Step 6

Challenge

Challenge

Design a production-ready solution for Tool schemas and explain one important trade-off.

Complete every stage

Work through every step in order, then the lesson will be marked complete.

Each chapter and subtopic has its own public URL under /ai-agent.