Single tool 'execute_skill_action' has a generic name that violates verb_noun conventions and obscures intent. Description is vague (67 chars) and lacks WHAT/WHEN/WHY guidance. Input schema exists but parameter 'query_payload' is a free-form string with no format constraints, validation rules, or examples, forces LLM to guess structure. No output schema documented; response is hardcoded JSON string, not structured. No error handling, no recovery guidance. Tool appears to be a catch-all wrapper rather than a focused, composable action. Naming 'execute_skill_action' is generic (pattern:tool violation); should be verb_noun like 'analyze_video_silence' or 'detect_jumpcuts'. Parameter lacks description depth required by pattern:tool-description.

• Rename tool to 'analyze_video_silence' or 'detect_jumpcuts' to follow verb_noun convention and clarify intent.
• Replace 'query_payload' string parameter with structured object: {media_id (string), silence_threshold_db (number, -40 to -20), min_pause_duration_sec (number, 0.1-2.0), total_duration_sec (number, optional)}. Add description to each field.
• Document output schema as structured object with fields: cadence_run_id, media_id, silence_segments_detected, total_silence_reclaimable_sec, optimized_duration_sec, speech_density_pct, jumpcut_timecodes (array of {start_sec, end_sec, duration}), edl_export_url.
• Expand tool description to 100-150 chars: 'Analyze video for silence segments and generate jumpcut timecodes to optimize video cadence. Accepts media_id, silence_threshold_db (-40 to -20 dB), and min_pause_duration_sec (0.1-2.0 sec). Returns silence_segments_detected, total_silence_reclaimable_sec, optimized_duration_sec, jumpcut_timecodes array, and EDL export URL for video editing.'
• Implement actual error handling: validate input ranges, return error classification (retryable vs user-fixable), and provide recovery hints (e.g., 'Invalid silence_threshold_db: must be -40 to -20 dB').