Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Actionable and well-structured with proper progressive disclosure to a real reference file, but it is somewhat verbose and its bulk-download workflow lacks explicit validation checkpoints.
Suggestions
Add an explicit verification step to the bulk-download workflow (e.g., check downloaded file sizes/checksums against API-reported values before processing) to lift workflow clarity.
Tighten the Overview and "Core Capabilities" sections, or move the detailed data-type definitions into the existing reference file, to reduce token overhead.
Make the use-case snippets fully executable by adding the requests.get call and status-code check rather than only constructing URL strings.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete code and endpoints, but the Overview restates the description and the data-type explanations are reference-style material that could be tightened or moved to the reference file. | 2 / 3 |
Actionability | Provides executable Python (requests with params), concrete API base URLs, endpoint paths, and copy-paste query patterns with real accessions and taxon IDs. | 3 / 3 |
Workflow Clarity | The bulk-download pattern has a clear 4-step sequence, but it lacks an explicit validation/verification checkpoint for a batch operation, which caps workflow clarity at 2 per the rubric. | 2 / 3 |
Progressive Disclosure | The body is a clear overview that signals one-level-deep references ("Consult `references/api_reference.md`"), and that referenced file exists and is well described in the Resources section. | 3 / 3 |
Total | 10 / 12 Passed |