MA2 Agent has 5 tools with mixed quality. All tools have descriptions (10-200 chars, within baseline range) and input schemas with typed parameters. However, schemas lack depth: no enums for constrained inputs, minimal parameter descriptions (many under 20 chars), no documented output schemas, and no error handling guidance. Tool names follow verb_noun pattern (decompose_task, run_task, list_agent_sessions, recall_agent_session, agent_token_report) but lack clarity on when to use each. The run_task tool accepts auto_confirm_destructive but provides no confirmation/dry-run pattern. Descriptions mention 'prefer plan_agent_goal and run_agent_goal' (tools not in this list), suggesting incomplete tool surface exposure. No evidence of pagination support, result limits, or chaining IDs in responses.

• Document output schemas for all 5 tools. Example: list_agent_sessions should return {sessions: [{session_id: string, timestamp: string, status: string}], total: number}. This enables LLMs to chain calls (e.g., list → recall).
• Add min/max constraints to numeric parameters. E.g., limit: {type: 'integer', minimum: 1, maximum: 100, description: 'Number of sessions to return (default 10)'}.
• Implement a dry-run or preview mode for run_task. Return a plan summary without executing, allowing agents to confirm before auto_confirm_destructive=true.
• Replace free-form 'color' parameter with an enum or pattern. E.g., color: {type: 'string', enum: ['red', 'blue', 'green', ...] or pattern: '^#[0-9A-Fa-f]{6}$|^[a-z]+$'}.
• Audit tool descriptions against actual tool surface. Remove references to plan_agent_goal and run_agent_goal if they are not exposed, or add them to the tool list.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry