I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

Debugging a tool-calling AI agent requires more than just seeing the final answer; you need to inspect the entire execution trace to find the point of failure. It is crucial to verify which tool the model requested, the exact arguments it sent, and what data your Python code actually returned. By first building a minimal loop with real API calls and schema validation, you can expose the raw message flow before abstracting it away with a larger framework. This method creates a verifiable evidence