Content
68%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 an efficient, actionable guide with a clear step sequence and a useful actor-selection table, but it lacks an explicit validation/verification checkpoint for this batch scraping operation, which caps workflow clarity.
Suggestions
Add a validation checkpoint between Step 4 and Step 5, e.g. verify the output file exists and is non-empty before summarizing, and show how to handle a zero-results run.
Consolidate the three near-duplicate Quick/CSV/JSON code blocks into a single invocation with documented optional --output and --format flags to tighten conciseness.
Briefly show how to construct the JSON_INPUT from the schema fetched in Step 2 so the run command is fully copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, well-sectioned, and avoids explaining concepts Claude already knows; the three near-identical Quick/CSV/JSON code blocks could be consolidated into one with optional flags. | 4 / 5 |
Actionability | It provides concrete executable commands (mcpc fetch, node script invocations) and a user-need-to-Actor-ID lookup table, but the JSON_INPUT placeholder is not shown constructed, leaving a minor gap. | 4 / 5 |
Workflow Clarity | The 5-step sequence with a progress checklist is clear, but this batch scraping operation has no explicit validation checkpoint before summarizing, capping workflow clarity at 3 per the batch-operation guideline. | 3 / 5 |
Progressive Disclosure | Content is organized into clear sections (Prerequisites, Workflow, Error Handling) with a one-level-deep script reference; the inline 18-row actor table is an appropriate lookup rather than misplaced detail. | 4 / 5 |
Total | 15 / 20 Passed |