Server has 6 tools with complete input schemas and descriptions, but quality is inconsistent. Naming follows verb_noun convention (good). Descriptions range from adequate to vague, some lack actionable context (e.g., analyze_content_engagement is a placeholder). Parameters mostly have types and descriptions, but several lack constraints (enums, min/max). Output schemas are not documented. Error handling is absent from visible code. No tool annotations (readOnlyHint, destructiveHint). Security concerns: generate_fitness_image and get_revenue_report require external credentials but no guidance on secret injection. Overall: functional but below production baseline.

• Replace free-form string parameters with enums. E.g., 'goal' → enum [muscle_gain, strength, endurance]; 'experience' → enum [beginner, intermediate, advanced]; 'equipment' → enum [full_gym, home_gym, minimal]; 'content_type' → enum [video, post, story]; 'platform' → enum [youtube, instagram, tiktok].
• Document output schemas for all tools. E.g., create_jump_cut_video returns {output_path: string, duration_saved_seconds: number, thumbnail_path?: string}. This enables LLMs to chain tools and extract required fields.
• Add tool annotations: mark get_revenue_report and analyze_content_engagement with readOnlyHint=true; mark create_jump_cut_video, add_video_branding, generate_fitness_image with destructiveHint=true (they write files).
• Expand analyze_content_engagement description from placeholder to actionable: 'Analyze engagement metrics (views, likes, comments, shares) for fitness content across platforms. Returns per-day breakdown and trend analysis. Currently returns mock data, integration pending.'
• Implement error handling with recovery guidance. E.g., if FFmpeg is missing, return 'FFmpeg not found. Install with: apt-get install ffmpeg (Linux) or brew install ffmpeg (macOS).' If API rate limit hit, return 'Rate limit exceeded. Retry after 60 seconds.' Violates pattern:recovery-guide.