AI-SyncForge exhibits significant definition quality gaps. While 10 tools are registered with schemas and descriptions, most descriptions are overly technical (Chinese, jargon-heavy) and lack LLM-optimized clarity. Parameter descriptions exist but are sparse. No output schemas are documented. Error handling is minimal, tools return generic dicts without recovery guidance. Tool names are verb-based (submit_and_wait, get_next_task) but descriptions assume deep domain knowledge of DAG scheduling, QA workflows, and Ops intervention, not accessible to LLMs unfamiliar with this system. Critical security concerns: manage_env accepts destructive actions (restart, cleanup) with minimal validation; no permission gates or audit trails visible. Composition is reasonable (tools are single-purpose), but chaining is implicit and undocumented.

• Rewrite all tool descriptions in English, 50 - 200 characters, following the pattern: '[ROLE] What it does. When to use it. Key output.' E.g., 'submit_and_wait: [Dev] Submit code for testing and wait for QA results. Use after code changes. Returns task_id and final status (success/fail).'
• Document output schemas for all tools. Add a 'Returns' section to each tool definition specifying field names, types, and meanings. E.g., submit_and_wait returns {task_id: int, status: 'success'|'fail'|'unknown', report_path: str|null, retry_count: int}.
• Add permission checks to manage_env. Verify caller has 'ops:manage_env' scope before executing. Log all calls with timestamp, caller ID, action, params, and result. Require explicit confirmation for 'restart' and 'cleanup' actions.
• Enhance error handling. Categorize errors: retryable (timeout, transient failure), user-fixable (invalid task_id, missing project), fatal (permission denied). Return {success: bool, error_type: str, message: str, recovery_hint: str}.
• Add parameter enums and constraints. E.g., manage_env.action should be an enum, not a free string. mark_task_done.status should be enum('success', 'fail', 'qa_rejection'). Add min/max for timeout parameters (e.g., 1 - 3600 seconds).

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

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