TechnicalFree
Write API endpoint descriptions
Give the endpoint and what it does, and get a complete reference entry: purpose, parameters, an example request and response, and its errors.
River's Endpoint Description Writer creates clear, complete API endpoint documentation. You provide the endpoint and its purpose, and the AI writes professional descriptions including what it does, parameters, request/response examples, and error cases. Perfect for API documentation, developer portals, and technical specifications.
Unlike vague descriptions, we create comprehensive documentation. The AI understands API documentation standards (clear purpose statements, complete parameter lists, realistic examples, error documentation), writes in developer-friendly language, and structures information for quick reference. You get endpoint docs that help developers integrate successfully.
This tool is perfect for API writers documenting endpoints, backend developers creating API docs, technical writers improving documentation, and teams standardizing API descriptions. Use it when documenting APIs to ensure consistent, helpful endpoint documentation.
What Makes Endpoint Documentation Effective
Endpoint documentation succeeds when developers can call the endpoint without contacting support. Effective docs state what the endpoint does clearly, list all parameters with types and requirements, show complete request example with real data, show expected response with all fields, document possible errors with causes, and explain authentication requirements. Weak docs list parameters without examples. Strong docs show exactly how to use the endpoint successfully.
The best endpoint documentation follows consistent structure. Start with one-sentence purpose. List HTTP method and path. Document authentication requirements. List parameters in table (name, type, required/optional, description, example). Show complete request example with realistic data. Show successful response example with all fields. Document error responses. Include rate limiting notes if applicable. This structure helps developers find information quickly.
To improve endpoint docs, test with developers unfamiliar with your API. Can they make successful call using only the docs? Include working curl commands (copy-pasteable). Use realistic example data (not foo and bar). Document every parameter (developers need to know all options). Explain errors thoroughly (what causes them, how to fix). Update docs immediately when endpoints change. Remember: good endpoint docs reduce support burden and increase API adoption.
How It Works
Specify endpoint and purpose
Provide HTTP method, path, and what it does
AI writes complete description
Our AI creates full endpoint documentation
Review and customize
Add specific parameters, adjust examples
Add to API docs
Include in documentation, update as endpoint evolves
What You Get
- Clear endpoint description and purpose
- Complete parameter documentation
- Request example with realistic data
- Response example with all fields
- Error cases and status codes
- Ready-to-publish endpoint documentation
Common questions
Should I document internal parameters or just public ones?
For public API docs, document only public parameters. Internal or admin-only parameters belong in internal documentation. Public docs should show exactly what external developers can use. Don't confuse them with parameters they can't access.
How detailed should error documentation be?
Document every error clients might encounter with clear explanation and resolution steps. Include status code, error code, message, cause, and how to fix. Error documentation prevents support tickets and frustrated developers.
Should examples show success only or also errors?
Show both. Success example shows happy path. Error examples show what goes wrong and response format for errors. Developers need to handle both cases in their code. Complete examples cover both scenarios.
How do I keep endpoint docs current?
Update docs in same pull request that changes endpoint. Treating docs as code requirement prevents drift. Some teams generate docs from code annotations automatically. Either way, endpoint changes must trigger doc updates immediately.
Should I include rate limiting in endpoint docs?
Yes, if endpoint has specific rate limits different from global limits. Developers need to know constraints before building integrations. Document requests per time period and headers showing remaining quota.
Write API endpoint descriptions
Describe what you need, add any files you have, and your workspace opens with the work already underway.