Practical Checklist Outlines How to Build APIs Safe for AI Agent Use

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A technical guide published on DEV Community outlines a checklist developers should follow before exposing API endpoints to AI agents via MCP servers. The checklist recommends that every API tool clearly declare its effect type — such as read, draft, state change, or irreversible action — and that approval for consequential operations be enforced at the calling layer, not by the AI model itself. Developers are advised to implement durable idempotency keys to handle retries safely, and to set explicit limits on searches to prevent unbounded data and cost issues. Structured, machine-readable error responses should replace generic error messages so agents receive clear recovery instructions rather than having to infer them. The guide also stresses comprehensive logging of policy decisions alongside API calls, arguing that the goal is to make interfaces inherently harder to misuse rather than relying on the agent to behave carefully.

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