Content
85%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.
A well-structured, token-efficient workflow for an MCP-based skill: concrete IDs, a tool-selection table, explicit error recovery, and a real one-level-deep reference file. The only improvements are eliminating the duplicated fallback guidance between Steps 1 and 4 and adding a sample tool invocation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — tables, short bullets, concrete IDs — with no explanation of concepts Claude already knows. Not a 5: Step 4 ('Handle unknowns') restates the identical get_all_surveys/get_popular_series fallback already given at the end of Step 1, which is trimmable redundancy. | 4 / 5 |
Actionability | Concrete, executable guidance throughout: exact series IDs (CUUR0000SA0, LNS14000000), named MCP tools in a decision table, and a numbered fallback procedure. Not a 5: no example tool invocation showing argument format (e.g., series_id, start_year), leaving a minor gap in copy-paste readiness. | 4 / 5 |
Workflow Clarity | A clear four-step sequence with an explicit ambiguity checkpoint in Step 1, a dedicated unknowns loop in Step 4, a 'Do NOT guess a series ID' guardrail, and error-recovery guidance in Common Issues (rate limits, empty results, ID not found). Not a 4: validation and feedback loops are explicit rather than implicit, satisfying the anchor-5 criteria. | 5 / 5 |
Progressive Disclosure | The body is a concise overview holding only the most common mappings, with the full catalog clearly signaled in references/series-catalog.md (verified to exist and contain the series catalog), exactly one level deep. Content is appropriately split between inline quick mappings and the reference file. | 5 / 5 |
Total | 18 / 20 Passed |