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 delivers actionable, well-structured guidance with concrete commands for multiple output formats. Its main weakness is the absence of an explicit output-validation checkpoint in a batch scraping workflow, and a large inline reference table.
Suggestions
Add an explicit validation checkpoint between Step 4 and Step 5, e.g. verify the output file is non-empty and contains expected fields before summarizing, with a fix/retry loop on failure.
Consider moving the 19-row actor-selection table into a separate reference file (e.g. actors.md) and linking to it, keeping the workflow body leaner.
Tighten filler phrases such as "(No need to check it upfront)" and "Based on character of use case" to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient — a focused actor-selection table and copy-paste commands with little padding — though minor fluff like "(No need to check it upfront)" and "Based on character of use case" could be trimmed. | 4 / 5 |
Actionability | Concrete, executable bash and node commands are given for quick, CSV, and JSON outputs across the workflow, with placeholders (ACTOR_ID, JSON_INPUT, YYYY-MM-DD) clearly marked rather than left ambiguous. | 4 / 5 |
Workflow Clarity | The five steps are clearly sequenced with a progress checklist and an error-handling section, but this batch scraping operation lacks an explicit validation/verification checkpoint on the output, which per the guidelines caps workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | Content is well organized into Prerequisites, a five-step Workflow, and Error Handling with mostly clear references to run_actor.js, though the 19-row actor table is inlined and no bundle directory is present alongside the referenced script. | 4 / 5 |
Total | 15 / 20 Passed |