Single tool 'execute_skill_action' has a basic schema with two string parameters, but critical quality gaps undermine production readiness. The tool name lacks a clear action verb (execute_skill_action is vague, does it create, update, or query?). Parameter descriptions are minimal and lack constraints (designer_label and vip_guest_tier are free-form strings with no enums, validation rules, or format guidance). No output schema is documented, the response structure is inferred from client.py but not formally declared in the MCP server definition. Error handling is absent. The server itself is a stub that prints JSON and exits; it does not implement actual MCP protocol message handling (no tool invocation dispatch, no request/response framing). This is a proof-of-concept, not a functional MCP server.

• Rename tool to 'curate_trunk_show' or 'create_trunk_show' to clearly signal the action and match verb_noun convention.
• Add enum constraints for 'designer_label' (e.g., ['Tarun Tahiliani Bridal Couture', 'Sabyasachi Heritage Collection', ...]) and 'vip_guest_tier' (e.g., ['HNW_GLOBAL_DIASPORA', 'HNW_DOMESTIC', 'EMERGING_COLLECTOR', ...]). Replace free-form strings with validated options.
• Document the output schema explicitly in the tool definition: return type should list all fields (trunk_show_id: string, designer_label: string, curated_couture_pieces_count: integer, average_ticket_value_inr: number, virtual_stylist_3d_draping_available: boolean, global_private_trunk_show_cities: array[string], bespoke_made_to_order_cleared: boolean).
• Implement actual MCP protocol message handling in mcp_server.py: parse incoming tool invocation requests, dispatch to the client, format responses, and return structured results. Use a proper MCP library (e.g., mcp-python) or implement the JSON-RPC 2.0 message loop.
• Add error handling: document what happens if designer_label is not found, if vip_guest_tier is invalid, or if the trunk show cannot be curated. Return actionable error messages (e.g., 'Invalid VIP tier. Must be one of: HNW_GLOBAL_DIASPORA, HNW_DOMESTIC, EMERGING_COLLECTOR') so LLMs can self-correct.