←
Previous Module
Your First Agent Demo
Tool Calling Basics
Master how AI agents call external tools and functions to accomplish real-world tasks
Your Progress
0 / 5 completedIntroduction to Tool Calling
Tool calling is what transforms AI from a conversational assistant into an action-taking agent. Without tools, an LLM can only generate text. With tools, it can check weather, search databases, send emails, and interact with the real world.
Think of tools as the hands and eyes of your AI agent - they extend its capabilities beyond just thinking and writing.
🛠️Common Agent Tools
Click each tool to see how agents use it
🌤️
Get Weather
Fetch current weather data for any location
📥 Input:
location: string
📤 Output:
temperature, conditions, humidity
� Use Case:
Agent answers: "What's the weather in Tokyo?"
🎯 Why Tool Calling is Essential
🌐
Access Real Data
Get current information beyond training cutoff
⚡
Take Actions
Execute tasks in real systems and databases
🎨
Extend Capabilities
Add unlimited specialized functions
🔒
Control Behavior
Define exactly what agents can and cannot do
📚 What You'll Learn
1
How to define tool schemas that LLMs understand2
Writing reliable tool functions with error handling3
Best practices for tool naming and descriptions4
Testing and debugging tool calls5
Common patterns and anti-patterns