Score and rank inbound/outbound leads from a YAML rulebook, emitting a ranked queue as JSON/CSV for your SDRs and CI gates.
Single tool 'warmline_scan' has a basic schema with one parameter but critical gaps. Description is present (94 chars) but lacks actionable context for LLM selection. Parameter 'target' has type and description but no constraints (format, examples, or validation rules). No output schema documented, LLM cannot predict return structure. No error handling guidance. Tool does one thing (scan), but definition quality is below production baseline.
Score and rank inbound/outbound leads from a YAML rulebook, emitting a ranked queue as JSON/CSV for your SDRs and CI gates.. Returns JSON findings.
No output schema documented. Tool returns JSON but LLM cannot predict field names, types, or structure (findings array, score field, etc.). Breaks downstream tool chaining and forces LLM to guess.
Parameter 'target' lacks constraints. No format specification, no validation rules, no examples of valid paths. LLM cannot distinguish between file paths, URLs, or directory patterns. Invites invalid input.
Tool description (94 chars) is generic and does not explain WHEN to use it vs alternatives, WHAT prerequisites exist, or HOW to interpret results. Lacks LLM-optimized guidance for tool selection.
No error handling guidance. Tool may fail on invalid paths, permission errors, or malformed YAML rules, but no recovery hints provided to LLM. Breaks agent resilience.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 48 | 2026-07-28+ | v2 |
Tool name 'warmline_scan' is domain-specific but does not start with a clear action verb. 'scan_directory' or 'scan_for_findings' would be more LLM-friendly and self-documenting.