Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, actionable, and well-structured with a clean single-script bundle reference. Its only weakness is workflow clarity: the batch generation process provides no validation or verification step for the produced spec.
Suggestions
Add a verification checkpoint after generation, e.g. validate the output with a spec validator or confirm it loads in Swagger UI/Redoc, to satisfy the batch-operation feedback-loop expectation.
Show how to handle detection failures (e.g., unsupported framework or no routes found) so Claude knows what to do when auto-detection yields nothing.
Note a fallback or manual review step when the generated spec is incomplete (missing request bodies or response models), guiding Claude to prompt the user for clarification.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: no basic-concept explanations, dense reference tables, and copy-paste Quick Start commands, with every section earning its place. | 3 / 3 |
Actionability | Provides fully executable commands (e.g., 'python scripts/generate_api_doc.py ./src --format yaml --output api-spec.yaml') with a concrete parameters table and a realistic output example, all copy-paste ready. | 3 / 3 |
Workflow Clarity | The single-action workflow is unambiguous, but this batch operation (scanning a source directory, writing a spec file) lacks any validation/verification checkpoint for the generated output, which caps the score per the batch-operation guideline. | 2 / 3 |
Progressive Disclosure | Well-organized into clear sections with a single one-level-deep bundle reference (scripts/generate_api_doc.py, verified to exist) that is cleanly signaled in the Quick Start; no deeply nested references. | 3 / 3 |
Total | 11 / 12 Passed |