APIs designed for human-driven applications often assume predictable workflows and deliberate actions. AI agents break those assumptions. They can select the wrong operation, submit ambiguous parameters, retry requests unexpectedly, or trigger irreversible side effects.

This session presents a practical approach to turning existing REST and event-driven APIs into reliable tools for AI agents. We will examine concrete failure modes in tool-calling applications and apply defensive patterns, such as explicit contracts, narrowly scoped permissions, idempotency, and human confirmation for sensitive operations.

A live demonstration will show the same agent interacting with two interfaces. Against a conventional API, it creates duplicate actions and exceeds its intended authority. Against a hardened tool interface, those failures are prevented, contained, or made reversible.

Rather than introducing another agent framework, the session focuses on reusable API and agentic architecture patterns. Attendees will leave with a checklist for evaluating existing endpoints and a practical guidance for designing agent-safe interfaces.