101 | AI Agent Tools & Schemas Explained | Google ADK Function Calling | Tool Calling with Gemini

This video explores AI Agent Tools and Tool Schemas within Google's Agent Development Kit (ADK), focusing on function calling capabilities with Gemini. It covers how to define, structure, and implement tools that enable AI agents to interact with external systems and APIs. The content demonstrates practical patterns for tool calling, schema validation, and integration with Gemini models to create functional autonomous agents.

Key Points

• •Tool schemas define the interface between AI agents and external functions, specifying input parameters, output types, and descriptions
• •Google ADK provides built-in support for function calling, allowing Gemini models to invoke tools based on task requirements
• •Proper schema documentation (descriptions, parameter types, required fields) improves model understanding and tool selection accuracy
• •Tool calling enables agents to interact with APIs, databases, and external services beyond language model capabilities
• •Function definitions must include clear descriptions of what the tool does, when to use it, and expected input/output formats
• •Gemini models can autonomously decide which tools to call based on user requests and available tool schemas
• •Error handling and validation of tool responses are critical for maintaining agent reliability and preventing cascading failures
• •Tool composition allows agents to chain multiple function calls together to accomplish complex multi-step tasks

Workflow Diagram

Concepts