Implementing Permission-Gated Tool Calling in Python Agents

A practical guide to implementing a human-in-the-loop permission gate for autonomous AI agents using Python's decorator pattern. The approach uses a `@requires_approval` decorator that intercepts high-risk tool calls (like database deletions), displays the proposed arguments to a human, and awaits explicit approval before proceeding. The pattern relies only on Python's built-in `functools` library and scales to production via async webhooks or admin dashboards.