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 actionable and well-structured with a clear five-step workflow, but it lacks an explicit validation checkpoint for a batch scraping operation, which caps workflow clarity.
Suggestions
Insert a validation checkpoint after Step 4 (e.g., confirm the actor run finished successfully and inspect row count before summarizing).
Replace the 'JSON_INPUT' placeholder with a small worked example so the run commands are copy-paste ready.
Move the large actor-selection table into a reference file and summarize the top options inline, keeping the overview lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with concrete commands and a useful actor table, with only minor padding such as the restated opening line and the parenthetical '(No need to check it upfront)'. | 4 / 5 |
Actionability | Provides concrete, executable mcpc and node commands with real Actor IDs, held back only by the generic 'JSON_INPUT' placeholder that lacks a worked example. | 4 / 5 |
Workflow Clarity | Five sequenced steps with a checklist are clear, but this is a batch scraping operation with no explicit validation checkpoint confirming the run succeeded before summarizing, capping the score at 3. | 3 / 5 |
Progressive Disclosure | Well-organized sections with a clearly signaled one-level reference to the run_actor.js script; the inline 16-row actor table is borderline but appropriate for selection guidance. | 4 / 5 |
Total | 15 / 20 Passed |