Single tool 'execute_skill_action' has a basic description (56 chars) but critical structural deficiencies. Input schema is present with two parameters (user_body_model, garment_texture_url), both with descriptions, but lacks type declarations in the visible schema definition. No output schema is documented anywhere in the codebase. The tool name uses 'execute_skill_action', a generic verb that violates naming patterns; should be 'synthesize_virtual_tryon' or 'generate_garment_drape'. No error handling, no validation guidance, no recovery paths. The implementation is a stub (mock client returning hardcoded JSON) with no actual neural garment synthesis capability. Tool definition appears inferred from client.py rather than explicitly registered via MCP protocol handlers.

• Rename tool to 'synthesize_virtual_tryon' (verb_noun pattern) and update description to: 'Generate a photorealistic virtual try-on image by simulating neural garment drape physics on a specified body model. Returns a 4K render URL and synthesis metadata.'
• Add complete output schema documenting all 7 return fields with types: tryon_job_id (string), body_model (string), fabric_physics_model (string), wrinkle_micro_crease_accuracy_pct (number 0-100), occlusion_edge_blending_passed (boolean), render_resolution (string), photorealistic_render_url (string).
• Add enum constraint to user_body_model parameter listing all valid body types (FEMALE_ATHLETIC_M_SIZE, MALE_SLIM_FIT_L, etc.) and add format/URL validation to garment_texture_url (must be https:// URL).
• Implement actual MCP protocol handlers: register tool via tools/list, handle tools/call requests, return structured responses with proper error classification (retryable vs user-fixable).
• Add error handling: document timeout behavior (e.g., 'Synthesis may take 30-60s; if timeout occurs, retry with same job parameters'), invalid body model error ('Body model not found. Valid options: [list]'), and invalid texture URL error ('Texture URL must be accessible HTTPS URL').