This server has significant definition quality gaps. While tool names follow verb_noun patterns (gov_article11_pass, gov_rapid_assign), descriptions are domain-specific but lack clarity for LLM selection. Most critically, parameter descriptions are minimal or absent, e.g., gov_article11_pass layers lack guidance on what 'Gemma reflection' or 'self-audit check' mean in practice. Input schemas are present but sparse: no enums, no min/max constraints, no format specifications. Output schemas are undocumented, tools return JSON strings but the structure is not formally declared. Error handling is minimal; most tools return {'ok': false, 'error': str(e)} without recovery guidance. The domain (governance/audit) is niche and the tool set appears internally coherent, but the definitions would confuse an LLM about when to invoke each tool and what valid inputs look like.

• Add enum constraints to role/gate/event_type parameters. E.g., gov_rapid_assign's R/A/P/I/D fields should accept a predefined set of role names (e.g., 'ceo', 'cto', 'product_lead'). Document valid values in the schema and description.
• Document output schemas formally. For each tool, declare the response structure: {'ok': bool, 'ts': int, 'latency_ms': float, ...}. Include field types and meanings so LLMs know what to extract.
• Expand parameter descriptions with domain context. E.g., 'layer_5_gemma: Reflection from Gemma model on decision implications (≥20 chars). Explain potential risks or unintended consequences.' This helps LLMs generate meaningful content.
• Add recovery guidance to error responses. E.g., instead of {'ok': False, 'error': 'CIEU write failed'}, return {'ok': False, 'error': 'CIEU audit log unavailable', 'retryable': True, 'next_step': 'Retry in 5 seconds or check system status.'}
• Clarify tool selection criteria in descriptions. E.g., 'Use gov_article11_pass BEFORE substantive CEO responses to document intent and audit trail. Use gov_rapid_assign to clarify decision roles AFTER intent is documented.' This guides LLM composition.