Designing Services That AI Agents Can Actually Use

An agent-ready service is not simply an existing API with a new label. Agents need tools with clear contracts, bounded actions, and responses that help them recover when something goes wrong.

Start with authority, not convenience

Before defining tools, define who the agent represents, what it may see, what it may change, and which actions require explicit human approval.

Tool descriptions and schemas then become part of the product interface. Ambiguity that a human user might resolve visually can cause an agent to choose the wrong action entirely.

Make behavior inspectable

Authentication, tenant boundaries, idempotency, audit trails, rate limits, and useful error semantics are central design concerns. Observability must explain both the service behavior and the tool decision path.

The best agent integrations feel simple to use because the difficult constraints were handled deliberately underneath.