Give Your API Agent a Definition of Done
An agent calls createProject, gets a valid response, and announces that the project is ready. Then the next request cannot find it. The tool call succeeded. The workflow did not. That gap is worth designing for before you expose an API to an agent. Here is a small exercise: take one create-and-read flow and make the evidence for completion explicit. Start with an observable outcome Use a…
When creating and retrieving an API project, the outcome should be clear and verifiable. Begin by performing a create operation, capturing the returned ID, then reading the project using that ID. Compare the retrieved project to the expected details, like name and owner. Structure this as a four-step process with clean-up for the disposable project at the end.
For an async create, replace the immediate read with documented status-check flow and bounded wait, using the API's defined behavior. Keep the failure trace useful—retain sanitized arguments, response status, returned ID, and failed assertion when the read fails. Distinguish between a missing resource and an authorization issue by checking if both calls used the same environment and identity.
The OpenAPI document should accurately reflect required fields, response types, and operation identifiers. This serves as the basis for AI-assisted API work, debugging, documentation, and scenario testing. An example create-read-check scenario with trustworthy evidence establishes a strong foundation for an agent. Adopting this workflow at Powerduck enables seamless collaboration across local OpenAPI documents, MCP tools, debugging, documentation, and scenario testing.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
