Single tool 'execute_skill_action' has a reasonable name starting with verb, but critical gaps undermine quality. Description is 95 chars (below 10-char minimum for actionable guidance). Input schema present with 3 parameters, all with type and description, but lacks output schema documentation entirely. No error handling guidance, no enum constraints on effect_type (invites hallucination), no pagination/limits despite media processing. Tool definition is visible in mcp_server.py but implementation is a stub returning hardcoded JSON, not a real MCP server. STDIO transport caps protocol readiness at 50.

• Add explicit output schema documenting all response fields: effect_job_id (string), effect_applied (string), video_duration_sec (integer), volumetric_mass_conservation_pct (number), surface_tension_fidelity_score (number), rendered_fx_video_url (string), alpha_transparency_channel_ready (boolean).
• Convert effect_type to an enum constraint listing all valid physics effects (ELASTOPLASTIC_MELT_AND_SQUISH, INFLATE_BALLOON_POP, etc.). Remove free-form string acceptance.
• Expand tool description to 150-250 characters explaining: what physics effects are applied, when to call this tool, supported media formats (image/video), duration range (e.g., 1-60 seconds), and what the output video URL represents.
• Add parameter constraints: duration_seconds with min=1, max=60 (or appropriate limits); input_media_url with format='uri' and description of supported formats (PNG, JPEG, MP4, etc.).
• Implement proper error handling: return structured errors with actionable guidance (e.g., 'Invalid effect_type: got "UNKNOWN_EFFECT", valid options are: ELASTOPLASTIC_MELT_AND_SQUISH, INFLATE_BALLOON_POP, ...'). Distinguish retryable vs. fatal errors.