Single tool 'execute_skill_action' has a basic description (56 chars) and two parameters with type definitions and descriptions. However, the tool lacks critical production-grade qualities: no output schema documentation, no error handling guidance, no parameter constraints (enums, ranges, formats), no indication of side effects or idempotency, and no recovery paths. The description is minimal and does not explain WHEN to use this tool or what it returns. Parameters lack format constraints (e.g., target_duration_seconds has no min/max bounds). The tool definition is visible in mcp_server.py but the actual implementation is absent, only a stub that prints JSON. This is a skeleton implementation, not production-ready.

• Document the complete output schema for execute_skill_action. Specify all returned fields (storyboard_job_id, scene_cut_count, duration_seconds, temporal_consistency_score_pct, camera_trajectory_model, rendered_video_h265_url) with types and descriptions.
• Add parameter constraints: target_duration_seconds should specify min (e.g., 1) and max (e.g., 300) bounds. Expand description to include format guidance.
• Expand tool description to 150 - 250 characters. Explain: What does it do? (generates video storyboards from text prompts) When to use it? (when user wants to create a video from a scene description) What does it return? (a job ID, video URL, and quality metrics).
• Add error handling guidance in the description: 'Returns an error if the prompt is empty, duration is out of range, or the video generation service is unavailable. Retry with a shorter duration or simpler prompt if generation fails.'
• Implement the actual MCP server handler in mcp_server.py. Wire the tool invocation to call client.compile_video_storyboard(), validate inputs, and return structured results. Currently, the server is non-functional.