Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, highly actionable, and well-structured with executable commands and curated resource tables, and the referenced script is real. The only gap is an explicit validation/verification checkpoint for confirming a located PDF is the correct report before outputting it.
Suggestions
Add an explicit verification step to the workflow, e.g. 'After locating a PDF, confirm the report period and issuer match the request before returning it; if mismatched, refine the search.'
Optionally note how to handle a missing-PDF fallback to the official detail page as a checked step rather than only in the output spec.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient: it jumps straight into credential handling, a numbered workflow, executable CLI examples, and compact tables — no padding or explanations of concepts Claude already knows. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands ('python scripts/year_report_api.py cninfo "平安银行" --year 2023 --page-size 5') plus a concrete command table mapping free/no-key interfaces to use cases. | 3 / 3 |
Workflow Clarity | A clear numbered workflow and a 'discard non-official sources' guard exist, but for a batch/download task there is no explicit validate-then-fix feedback loop (e.g. verify the PDF opened/is the right period before accepting), which caps this at 2. | 2 / 3 |
Progressive Disclosure | Well-organized single-file overview with clear sections (workflow, API script, browser-use resources, discarded sources, output spec); the one referenced bundle file 'scripts/year_report_api.py' exists and is one level deep. | 3 / 3 |
Total | 11 / 12 Passed |