Tool execution & practice

Now that you understand tool schemas and registries, let us explore what happens when things go wrong and practice building tool-calling agents.

Your tool execution layer should validate the tool name against a registry of available tools. If the name does not match, return a clear error message to the LLM so it can try again. Most frameworks handle this automatically.

Tool calling transforms your AI from a text-only system into one that can take real actions in the world. Your agents can now search the web, query databases, run calculations, and interact with any API. That wraps up parallel processing and self-improvement patterns.