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 description, it is a free-form string with no format, length, or content constraints. No output schema is documented; the tool returns a generic JSON success message with no structured fields. No error handling guidance. Tool name uses 'execute' (generic verb) rather than domain-specific action like 'detect_bias' or 'audit_methodology'. The implementation is a stub that always returns success, making it unsuitable for production use.

• Rename tool to 'detect_study_methodology_bias' or 'audit_study_design' to match domain intent and follow verb_noun convention.
• Replace 'query_payload' with explicit, typed parameters: study_id (string), study_design (enum: DOUBLE_BLIND_RCT, OBSERVATIONAL, etc.), cohort_size (integer, 1 - 10000). Add descriptions for each.
• Rewrite tool description to 100 - 150 chars: 'Analyze a research study design for methodological bias, p-hacking risk, and statistical power. Returns bias audit ID, robustness grade, and audit dossier URL.'
• Document output schema with typed fields: bias_audit_id (string), methodology_robustness_grade (enum), statistical_power_score (number 0 - 1), selection_bias_detected (boolean), audit_dossier_url (string).
• Add error handling: return distinct error types (invalid_study_design, cohort_size_out_of_range, audit_service_unavailable) with actionable recovery messages.