18 tools with complete JSON schemas and basic descriptions, but significant quality gaps. Most descriptions are terse (10-60 chars, well below the 194-char baseline). Parameter descriptions are almost entirely absent, LLMs cannot infer what 'type', 'namespace', or 'payload' mean. No output schemas documented. Error handling is generic ('success: false, error: message'). Approval flags exist but lack rationale. Tools like 'run_cycle' and 'generic_execute_draft' are dangerously vague. No enum constraints on categorical parameters. Naming is mostly verb-noun but lacks clarity on tool relationships (e.g., 'run_task' vs 'queue_task' distinction unclear to LLMs).

• Add 50-150 character descriptions to every parameter. E.g., 'type: Memory type (operational, episodic, or semantic), determines how the entry is indexed and retrieved.'
• Document output schemas for all tools. E.g., 'Returns {run_id: string, status: "pending"|"running"|"completed"|"failed", result?: object, error?: string}'.
• Replace free-form 'type', 'category', 'priority' parameters with enums. E.g., priority: {type: 'integer', enum: [1, 2, 3, 4], description: '1=low, 2=normal, 3=high, 4=urgent'}.
• Expand tool descriptions to 100-200 chars explaining WHEN to call, WHAT state changes occur, and WHAT to expect. E.g., 'run_cycle: Trigger a full autonomous orchestration cycle. Executes all queued tasks and updates objectives. Idempotent. Returns cycle_id and completion status.'
• Add error recovery guidance. E.g., 'If cancel_run fails with 'run not found', call list_runs() to verify the run_id exists.'