Content
78%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 useful decision tree, but progressive disclosure is undermined by references to nonexistent example files. Tightening the redundant recon section and adding a retry loop would raise the remaining dimensions.
Suggestions
Create the referenced examples/ files (element_discovery.py, static_html_automation.py, console_logging.py) or remove the 'Reference Files' section to avoid broken references.
Add an explicit validate/retry step in the workflow (e.g. re-check selectors or re-run with adjusted waits when an action fails) to close the feedback loop.
Fix the typo 'abslutely' → 'absolutely' and merge the overlapping content between the decision tree and the Reconnaissance-Then-Action section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Playwright competence, with the decision tree and copy-paste examples earning their tokens; the Reconnaissance-Then-Action section partially restates the decision tree and could be tightened. | 4 / 5 |
Actionability | Provides copy-paste-ready commands for single and multiple servers plus a complete executable Playwright snippet, covering the common cases directly. | 5 / 5 |
Workflow Clarity | The decision tree sequences the approach with explicit success/fail branches and the recon pattern gives ordered steps, but there is no full validate-fix-retry feedback loop for error recovery. | 4 / 5 |
Progressive Disclosure | The body is well-sectioned and keeps bulk logic in the bundled script, but the 'Reference Files' section points to an examples/ directory (element_discovery.py, static_html_automation.py, console_logging.py) that does not exist in the bundle. | 3 / 5 |
Total | 16 / 20 Passed |