Parse and classify signal metadata (freq, modulation, bandwidth) into a normalized catalog.
Single tool 'sigmeta_scan' has a basic description (89 chars) and minimal schema. Input schema present but lacks parameter descriptions, only 'target' with type string and description. No output schema documented. No error handling guidance, no parameter constraints (e.g., path validation, file size limits), and no indication of what 'normalized catalog' means or what JSON structure is returned. Tool name lacks action verb clarity ('sigmeta_scan' is domain-specific jargon; 'scan_signals' or 'analyze_signals' would be clearer). Description does not explain WHEN to use this tool, what prerequisites exist, or what the return structure contains. Baseline: 100% of A+ tools have documented return types; this tool has none visible.
Parse and classify signal metadata (freq, modulation, bandwidth) into a normalized catalog.. Returns JSON findings.
No output schema documented. LLMs cannot plan downstream operations or extract fields from the response. Baseline: 100% of A+ tools document return types.
Input parameter 'target' lacks description. LLMs cannot infer whether this is a file path, directory, URL, or resource ID. Baseline: 100% of A+ tool params have descriptions.
Tool name 'sigmeta_scan' does not start with a clear action verb. 'scan_signals', 'analyze_signals', or 'classify_signals' would better signal intent to LLMs. Baseline: 90% of A+ tools start with action verbs.
Description is vague: 'normalized catalog' and 'JSON findings' are undefined. What fields are in the findings? What does 'classify' mean? LLMs need explicit structure.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 43 | 2026-07-28+ | v2 |
No error handling guidance. What happens if target is invalid, inaccessible, or too large? How should the LLM recover? Baseline: A+ tools include recovery hints.