Critical gaps across all dimensions. Tool descriptions are present but minimal (10-50 chars, well below the 194-char baseline). Input schemas exist but lack parameter descriptions entirely, every parameter is undescribed, violating the 100% A+ baseline. No output schemas documented. Tool names lack clear action verbs (parallax_checkin, horizon_record_audit are vague). No error handling guidance, no pagination support, no idempotency markers. The server appears to be a specialized orchestration/verification tool for Claude Code, but the definitions do not meet production quality standards for agent reasoning.

• Add a description to every input parameter. For 'sessionId', write: 'The Horizon session ID (UUID format, e.g. 550e8400-e29b-41d4-a716-446655440000). Required to identify the orchestration context.'
• Document output schemas for all tools. Example for horizon_read_state: 'Returns {state: object, timestamp: ISO8601, active_agent: string, metadata: object}. Use state.status to check if orchestration is running.'
• Rename vague tools: parallax_checkin → parallax_store_evidence or parallax_verify_evidence; horizon_record_audit → horizon_log_audit_event.
• Expand tool descriptions to 100-200 chars. Include WHEN to call (e.g. 'Call after verification completes'), WHAT it does (e.g. 'Persists evidence to the audit ledger'), and WHAT it returns (e.g. 'Returns audit_id and timestamp').
• Add error handling guidance to each tool. Example: 'If sessionId is invalid, returns {error: "session_not_found", available_sessions: [...]}. Retry with a valid session ID from parallax_verify().' This enables LLM self-correction.