Content
82%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.
Highly actionable reference documentation: every tool has concrete params, return shapes, gotchas, and executable examples, organized into a clear phased workflow with worked examples and a mistakes checklist. The main costs are token spend on regulatory background Claude already knows and duplication between the overview diagram and per-phase sections, plus the absence of error-recovery guidance for failed or empty tool calls.
Suggestions
Trim the Reasoning Framework section: drop facts Claude already knows (505(b)(2) definition, NCE=5yr/ODE=7yr/PED=6mo durations, TE-code meanings) and keep only the non-obvious interpretation rules, e.g., exclusivity can block generics after patent expiry and Purple Book vs Orange Book scope.
Remove duplication between the Workflow Overview diagram, the Supplementary tools block, and the per-phase sections — the diagram should show only phase names and outcomes, with the tool names appearing once in their phase sections.
Add brief error-recovery guidance for failed or empty tool calls (e.g., if FDAGSRS_search_substances returns no data, retry with a brand name or synonym from RxNorm_get_drug_names), completing the feedback loop the workflow otherwise lacks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Tool parameters, return shapes, and API gotchas (e.g., rela_source="DAILYMED" for EPC class IDs, UPPERCASE brand names, total_count may be None) are non-obvious and earn their tokens. However, the Reasoning Framework re-explains standard regulatory knowledge Claude already knows (505(b)(2) definition, NCE=5yr/ODE=7yr/PED=6mo durations), and the Workflow Overview diagram plus the Supplementary tools block duplicate the per-phase tool listings. Efficient with minor over-explanation fits anchor 4. | 4 / 5 |
Actionability | Every tool entry has concrete parameters with types and defaults, return-shape descriptions, and usage guidance, plus executable Python snippets covering the common cases (substance lookup, class members, generic availability, adverse reactions, trial search). Copy-paste ready and specific, matching anchor 5. | 5 / 5 |
Workflow Clarity | Eight clearly sequenced phases with a diagram, three worked example workflows, and a Common Mistakes checklist; explicit checkpoints exist ("always check FDA_OrangeBook_get_exclusivity before concluding a generic can enter", "check len(studies) > 0"). No error-recovery/feedback guidance for failed or empty tool calls (e.g., fallback when search returns no substances), which keeps it at anchor 4 rather than anchor 5. The destructive/batch validation cap does not apply — all operations are read-only API queries. | 4 / 5 |
Progressive Disclosure | No bundle files (references/, scripts/, assets/) exist, so a self-contained SKILL.md is appropriate; sections are well-organized with headers, an overview diagram, and per-phase breakdowns that are easy to navigate. The ~280 lines of per-tool API detail could arguably be split into reference files, a minor organization gap that fits anchor 4. | 4 / 5 |
Total | 17 / 20 Passed |