Content
65%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable examples and good reference structure, but repeats guidance across sections and lacks explicit validation checkpoints for its batch and large-scale data workflows.
Suggestions
Consolidate repeated guidance (polite-pool email, per-page size, field selection) into a single best-practices block and reference it once instead of restating in Quick Start, Critical Best Practices, and Notes.
Add explicit validation checkpoints to batch/large-scale workflows (e.g., verify batch_lookup returned all requested IDs, confirm paginate_all counts match expected totals, retry-on-error feedback loop).
Resolve the search_works(filter_params=...) vs. raw _make_request('/authors', params=...) inconsistency in examples so the public API surface is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with executable examples, but email/polite-pool, page-size, and select guidance is restated across Quick Start, Critical Best Practices, and Notes, adding noticeable padding. | 3 / 5 |
Actionability | Provides concrete, copy-paste-ready code across the 12 common capabilities with real parameters, though minor inconsistencies (search_works filter_params vs raw _make_request) leave small gaps. | 4 / 5 |
Workflow Clarity | Multi-step patterns are shown (two-step author lookup, paginate→CSV export), but batch and large-scale extraction workflows lack explicit validation/verification checkpoints, capping this at 3 per the batch-operation rule. | 3 / 5 |
Progressive Disclosure | Clear overview with well-signaled, one-level-deep references to references/api_guide.md, references/common_queries.md, and the two scripts, all of which are real files; detail is appropriately split out. | 5 / 5 |
Total | 15 / 20 Passed |