Content
77%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 content is a well-structured, highly actionable multi-step workflow with explicit validation checkpoints, feedback loops, and clean progressive disclosure via two real references. Its main weakness is verbosity from repeated constraints.
Suggestions
Consolidate the read-only constraint ('Do not create tasks, posts, digests, CRM updates') into a single Rules statement and reference it instead of restating it in the Automation Offer Guard and Next Steps sections.
Tighten the Automation Offer Guard by removing redundant restatements of the Monitor Summary format and output shape already specified in the Output Format section.
Trim conditional phrasing such as 'deepen selectively when relevant' by linking to the concrete ordered source list already defined in step 3.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient operational guidance but is long and contains noticeable repetition, e.g., the read-only constraint 'Do not create tasks, post digests, store monitoring state, or write CRM updates' is restated several times and the Automation Offer Guard is verbose. | 3 / 5 |
Actionability | Provides concrete, actionable guidance: explicit modes, ask_user_input() calls, exact caps (50 accounts, batches of 10, 14-day default), an ordered evidence-collection sequence, and full output templates with column schemas; some conditional phrasing keeps it just short of copy-paste-ready. | 4 / 5 |
Workflow Clarity | A clear 5-step sequenced workflow with explicit gating checkpoints ('Do not retrieve deeper evidence until the user selects one', 'Stop when the recent story is supported') and feedback loops for the batch operation (retry failed accounts once, then mark unavailable; ask for narrower scope if >50 accounts). | 5 / 5 |
Progressive Disclosure | A dedicated 'Reference Loading' section signals exactly when to load each one-level-deep reference (request-schema.yaml, signal-taxonomy.md), both of which are real bundle files, and detailed schema/taxonomy content is appropriately split out of the overview. | 5 / 5 |
Total | 17 / 20 Passed |