ChatCut MCP has 11 tools with basic schemas and descriptions, but significant gaps prevent production use. Tool names follow verb_noun convention (list_projects, create_motion_graphic_from_code), which is good. However, descriptions are often vague or missing critical context. Most parameters lack type constraints (enums, ranges, patterns). Output schemas are not documented. Error handling is absent, no guidance on retries, recovery, or what to do when operations fail. The server exposes internal implementation details (JSX code, frame counts, codec names) without validation or constraints. No pagination support despite tools that could return large result sets (search_stock_media, list_projects). Parameter descriptions are generic ('UUID of the project') without explaining when to use each tool or dependencies between them.

• Add output schemas to every tool. Document the structure of responses (e.g., list_projects returns [{id, name, fps, width, height, created_at}]). This enables LLMs to chain tools correctly.
• Convert free-form string parameters to enums. submit_voice.engine → enum ['elevenlabs', 'doubao']. submit_export.codec → enum ['h264', 'vp8', 'av1']. submit_export.resolution → enum ['720p', '1080p', '4k']. search_stock_media.kind → enum ['video', 'audio', 'music', 'image'].
• Expand parameter descriptions to 50-150 characters with format hints. E.g., 'projectId: UUID of the project (e.g., 550e8400-e29b-41d4-a716-446655440000). Use list_projects to discover available projects.'
• Add error handling guidance. Document what happens if async jobs timeout (track_progress, track_export). Provide retry logic: 'If timeout occurs, call track_progress again with the same jobIds. Max retries: 3.'
• Implement pagination for list_projects and search_stock_media. Add limit (default 20, max 100) and offset/cursor parameters. Return total_count and next_cursor in responses so agents can iterate through large result sets.