Single tool 'execute_skill_action' has a basic description (67 chars) and input schema with two parameters. However, the schema lacks critical details: no type constraints on 'platform_targets' array items, no enum for valid platforms, no output schema documented, and no error handling guidance. The tool name uses 'execute' (generic verb) rather than a specific action like 'repurpose_video' or 'generate_shorts'. The description does not explain WHEN to use this tool, what it returns, or what happens on failure. No parameter descriptions beyond the schema. This is a minimal, incomplete definition that would confuse an LLM about expected behavior and output structure.

• Rename tool to 'repurpose_video_to_shorts' or 'generate_viral_shorts' to clearly convey the action and match the skill's domain.
• Add a complete output schema documenting all returned fields: source_video (string), shorts_created (array of objects with short_id, hook_title, timestamp_range, viral_score_prediction, aspect_ratio, animated_captions_style, cta_overlay), platform_targets (array), total_shorts_count (integer), estimated_editing_time_saved_hours (number).
• Constrain 'platform_targets' with an enum: ['TikTok', 'YouTube_Shorts', 'Instagram_Reels', 'Snapchat', 'BeReal']. Remove the 'e.g.' phrasing and make valid values explicit.
• Expand tool description to 150-250 chars explaining: what the tool does (repurposes long-form video into platform-optimized shorts), when to use it (when you have a video and want viral clips), what it returns (array of short clips with timestamps and viral scores), and any prerequisites (video must be publicly accessible).
• Add error handling guidance: 'If the video URL is invalid or unreachable, the tool will return an error with the invalid URL. Verify the URL is correct and the video is publicly accessible, then retry.'