Content
57%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.
The body offers executable CLI guidance and good schemas but is held back by redundant input restatements, a placeholder example, inlined schemas, and the absence of validation/verification steps for a batch state-mutating operation.
Suggestions
Add a verification/feedback step instructing Claude to inspect the returned success flags and retry or report any names that came back false (unknown/ambiguous).
Replace the placeholder 'string_value' in the primary example with a real ToolToggleInput array (e.g., [{"Name":"tool-x","Enabled":false}]).
Move the large Input/Output JSON schemas into a separate reference file and link to them from SKILL.md to reduce triple restatement and inline bulk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Inputs are restated three times (prose, table, and JSON schema) and the How to Call section gives three overlapping CLI variants, which is more than minor padding, matching anchor 3. | 3 / 5 |
Actionability | Provides concrete executable CLI commands plus troubleshooting remediation, but the primary example uses placeholder 'string_value' inputs rather than a realistic ToolToggleInput array, leaving a minor gap. | 4 / 5 |
Workflow Clarity | This batch, state-mutating operation has no verification or error-recovery step (e.g., checking returned success flags or handling unknown/ambiguous names), so per the rubric cap workflow clarity is held at 3. | 3 / 5 |
Progressive Disclosure | Section structure is reasonable but the large inlined Input/Output JSON schemas (~115 lines) are content that arguably belongs in a separate reference file, matching anchor 3. | 3 / 5 |
Total | 13 / 20 Passed |