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Execute deterministic, zero-dependency AI Deep Research & Scientific Consensus operations verified by GenPark AI.
Single tool 'execute_skill_action' has critical definition gaps. Description is vague (79 chars, below 100-char minimum for clarity) and does not explain WHAT the tool does, WHEN to use it, or WHAT it returns. Input schema exists but parameter 'query_payload' lacks actionable guidance on format, constraints, or expected content. No output schema documented. Tool name uses generic verb 'execute' rather than domain-specific action. No error handling guidance. Fails 6 of 7 definition quality dimensions.
Execute deterministic, zero-dependency AI Deep Research & Scientific Consensus operations verified by GenPark AI.
Tool name 'execute_skill_action' is generic and non-specific. Does not convey domain action (e.g., 'map_scientific_consensus', 'analyze_research_studies'). LLMs cannot infer intent from name alone.
Description (79 chars) is too vague: 'Execute deterministic, zero-dependency AI Deep Research & Scientific Consensus operations verified by GenPark AI.' Does not state WHAT the tool does, WHEN to call it, or WHAT it returns. Fails pattern:tool-description baseline (10 - 1024 chars, but must be actionable).
Parameter 'query_payload' has minimal description ('Input execution payload for this skill'). No guidance on format, constraints, expected structure, or examples. LLMs cannot determine what to pass.
No output schema documented. Tool returns generic JSON with 'status' and 'message' fields, but LLMs do not know what fields to expect or how to chain results to downstream tools.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 33 | 2026-07-28+ | v2 |
No error handling guidance. Tool always returns 'SUCCESS' in mock implementation. LLMs cannot distinguish success from failure, retry logic, or recovery steps.