Content
81%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, highly actionable reference with concrete schemas, named tools, explicit validation checkpoints, and failure-handling guidance. Its main gaps are a placeholder in the replay script and a monolithic length that could benefit from splitting detail into reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dominated by lean tables, JSONL, and a bash script with little concept-padding, though prose sections like 'Core Principle' and 'Integration with GenAI Disclaimer' could be trimmed slightly, fitting the 'efficient with minor over-explanation' anchor above the midpoint. | 4 / 5 |
Actionability | Concrete JSONL schemas, named MCP tools (mcp__qsv__qsv_stats, mcp__qsv__qsv_sqlp), and a mostly-executable bash replay script give strong actionable guidance; the replay script leaves core tool-replay logic as a placeholder ('tool-specific replay logic here'), keeping it just below fully copy-paste ready. | 4 / 5 |
Workflow Clarity | The Journal Lifecycle (Starting/During/Closing) and Verification Protocol are explicitly sequenced with validation checkpoints ('If mismatch, flag the step and stop') and failure-retry feedback ('log both attempts'), matching the anchor for clear sequences with explicit validation and feedback loops. | 5 / 5 |
Progressive Disclosure | The single file is well-organized with clear section headers and no nested references, but at ~185 lines with no bundle files it could offload the replay script or integration table into reference files; this fits 'good structure with minor organization gaps' rather than the ideal one-level-deep reference split. | 4 / 5 |
Total | 17 / 20 Passed |