Content
86%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.
Well-structured, highly actionable content with clean progressive disclosure to real reference files. Could tighten the introductory background and add explicit validation/error-recovery guidance for the multi-step workflows.
Suggestions
Trim or condense the opening background paragraph on what GO/QuickGO is, since Claude already knows this domain.
Add an explicit validation/inspection checkpoint in the multi-step workflows (e.g., confirm proc_id.json contains a UniProtKB ID before running Step 2, and what to do on an empty result).
Note how to detect and handle API/rate-limit errors at the workflow level, rather than relying solely on the wrapper script.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with concise Core Rules bullets and executable commands; the opening paragraph briefly explains what GO/QuickGO is, which is mild over-explanation Claude largely already knows. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready `uv run scripts/quickgo_tool.py ...` commands with real flags cover the common cases across four workflows, plus concrete flag guidance in Core Rules. | 5 / 5 |
Workflow Clarity | Workflows are clearly sequenced (Step 1/Step 2) with inline inspection cues, but lack explicit validation checkpoints or error-recovery feedback loops; retry handling is delegated to the wrapper rather than shown. | 4 / 5 |
Progressive Disclosure | The body is a clear overview where each of the four subcommands links to a real, one-level-deep reference file (go_terms.md, annotations.md, gene_products.md, eco_terms.md), with inline examples kept concise. | 5 / 5 |
Total | 18 / 20 Passed |