Agent‑First PRD Template: Ship Features That Are Immediately Discoverable by AI Agents

AI agents and copilot features rely on machine‑readable signals to find and invoke product capabilities. A human README is not enough — metadata and minimal API contracts make a feature visible to crawlers, indexers, and enterprise agents that surface actions to end users.

This PRD flips the canonical order: instead of writing long prose and a specs folder, create a single page that contains three machine‑first artifacts (JSON‑LD SoftwareApplication, an OpenAPI stub, and acceptance tests). That single page is both a launch checklist for engineers and a signal pack for agents.

Make the template a single document (Markdown or HTML) with three clearly labeled machine blocks: 1) SoftwareApplication JSON‑LD describing the feature and its entry points, 2) an OpenAPI 3.x minimal stub that documents the endpoints or action entrypoints, and 3) acceptance tests (Postman collection, or small pytest/Jest snippets) proving the nominal flows.

Each block should be copy‑paste ready. Keep fields small and specific: name, description, entryPoint URL(s), verbs (GET/POST), expected parameters, success responses, and at least one example request/response. Include a version and date so agents can prefer the latest artifact.

Take a small feature (for example: 'share a note to project channel'). Start by adding SoftwareApplication JSON‑LD that declares an EntryPoint and brief description so indexers can surface the capability. Use the SoftwareApplication pattern to expose the name, applicationCategory, and entryPoint urlTemplate.

Next, author a tiny OpenAPI stub that documents the core action endpoint (/projects/{id}/share) with parameters and a sample 200 response. Finally, add two acceptance tests: one that calls the endpoint with a valid payload and asserts 200 and response schema, another that asserts a 4xx for missing permissions. This trio is enough for automated crawlers and agent toolchains to understand and call the capability safely.

Acceptance tests are the trust layer. Postman collections or small test scripts (pytest, Jest) that validate response schema and key business assertions allow CI to gate agent availability. Contract tests detect drift and prevent agents from invoking broken features.

Use simple schema validation and at least one end‑to‑end happy path. If you use OpenAPI, wire your acceptance tests to validate responses against the OpenAPI schemas — many test runners (Postman, Newman, or language test libraries) support this pattern and can be integrated into pipelines.

Checklist before marking the feature agent‑available: (1) JSON‑LD embedded and reachable from the feature page, (2) OpenAPI stub checked into the repo and linked from the page, (3) acceptance tests in CI with passing results, (4) auth details and rate limits documented, (5) versioned artifact with date.

AppWispr recommends treating this page as a living contract between product, engineering, and the agent ecosystem. Keep the one‑page PRD lean — agents prefer predictable, machine‑level signals over long prose. Link this PRD from your product site or internal catalog so discoverers can find it.