Content
75%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 is a well-structured, action-oriented workflow: a decision table routes to the right Actor, schemas are fetched dynamically, user preferences are collected up front, and concrete commands plus error handling make it largely executable. Weaknesses are minor — repeated command blocks, no example input JSON, and no output verification step.
Suggestions
Collapse the three per-format bash blocks into one command showing optional --output/--format flags to remove redundancy.
Include one concrete --input example (e.g., a profile URL or post ID JSON) for a common case so runs are fully copy-paste ready.
Add a verification step in Step 5 (e.g., check the output file is non-empty / report row count before summarizing) to close the validation gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient: a dense actor-selection table, concrete commands, and no concept explanations Claude already knows. The three near-duplicate bash blocks per output format (differing only in flags) are minor padding that could be collapsed into one command with optional flags, matching anchor 4 ("Efficient; minor instances of over-explanation that could be trimmed"). | 4 / 5 |
Actionability | Guidance is mostly executable: a copy-paste-ready mcpc command with jq, a real script path with documented flags, and placeholders explained ("Replace ACTOR_ID with the selected Actor"). It falls short of anchor 5 because no concrete example JSON_INPUT is shown for a common case — the user must assemble it entirely from the schema fetched in Step 2. | 4 / 5 |
Workflow Clarity | A clear 5-step sequence with a progress checklist, a dynamic schema-fetch checkpoint in Step 2, and an error-handling section mapping failure messages to recovery actions (a feedback loop). Minor gap versus anchor 5: no explicit verification of output correctness (e.g., checking the CSV/JSON is non-empty or row counts) before reporting results in Step 5. | 4 / 5 |
Progressive Disclosure | Good structure: well-organized sections, and actor schemas are fetched dynamically via mcpc rather than inlined — an exemplary on-demand disclosure pattern. It sits at anchor 4 rather than 5 because the 18-row actor table and error mapping are borderline candidates for a one-level-deep reference file, and the referenced run_actor.js script lives in the plugin bundle with no local reference files to verify. | 4 / 5 |
Total | 16 / 20 Passed |