AgentAudit has 6 tools with clear naming (audit_* prefix) and reasonable descriptions (100-150 chars each). However, critical gaps undermine quality: (1) Input schemas are present but lack formal enum constraints for event_type and severity despite predefined lists in code; (2) Parameter descriptions are minimal (10-30 chars) and do not explain format, constraints, or dependencies; (3) Output schemas are undocumented, responses are JSON strings, not structured objects with typed fields; (4) Error handling returns JSON with 'isError' flag but provides no recovery guidance or actionable next steps; (5) No tool annotations (readOnlyHint, destructiveHint) despite clear read/write distinction. The audit_log tool modifies state but lacks confirmation/dry-run pattern. Overall, definitions are functional but fall short of production-grade clarity and LLM-optimization standards.

• Add formal enum constraints to event_type and severity parameters in schema. Replace free-form strings with constrained lists: event_type: ['task_created', 'task_assigned', ...], severity: ['info', 'notice', 'warning', 'error', 'critical'].
• Expand parameter descriptions to 50-100 chars each. Include format, constraints, and dependencies. E.g., 'agent_id: Unique identifier of the agent (alphanumeric, 1-64 chars). If unknown, call audit_search() first.'
• Document output schemas explicitly. Define return types for each tool: audit_log returns {logged: bool, event_id: string, event_hash: string, ...}. Include field types and meanings.
• Enhance error messages with recovery guidance. E.g., 'Event evt_123 not found. Try audit_search(agent_id=...) to list available events.' or 'Invalid event_type. Must be one of: task_created, task_assigned, ...'
• Add tool annotations: mark audit_log with destructiveHint=true; mark read-only tools (audit_get_event, audit_search, etc.) with readOnlyHint=true. This signals to LLMs which tools have side effects.