Three tools with complete schemas and descriptions, but significant gaps in parameter documentation and error handling. generate_image has detailed descriptions and good parameter coverage (7 params with types and descriptions), but lacks enum constraints for aspect_ratio and cache modes. get_status and list_generated_images are simpler but adequately documented. No tool includes error recovery guidance, confirmation steps for destructive operations, or output schema documentation. Naming is clear and verb-based (generate_, get_, list_). No security issues detected (no secrets in params). Overall: functional definitions suitable for basic use, but missing production-grade error handling and LLM-optimized guidance.

• Convert aspect_ratio and cache to enum types in schema: aspect_ratio: enum=['1:1', '16:9', '9:16', '4:3', '3:4', '3:2', '2:3']; cache: enum=['', 'slow', 'medium', 'fast'].
• Add error classification to generate_image: return structured errors like {"error": "timeout", "retryable": true, "guidance": "Generation exceeded 10 minutes. Try reducing steps or resolution."} instead of plain text.
• Document output schemas in tool descriptions. E.g., 'Returns JSON object with keys: file, resolution, seed, steps, elapsed_seconds.' Enables LLM to parse and chain results.
• Add dry-run parameter to generate_image: dry_run=false. When true, validate inputs and return estimated time/memory without writing to disk.
• Expand get_status description to 50+ chars explaining purpose: 'Check if MLX backend is ready, view model path, output directory, and available aspect ratios. Call before generate_image if setup is uncertain.'

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

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