Strong foundation with 9 well-named tools following verb_noun convention (find_, get_, bind_, place_). All tools have descriptions (avg 180 chars, within 10-1024 baseline). Input schemas present for all tools with proper JSON Schema structure. Critical gaps: output schemas are NOT documented anywhere in the source, LLMs cannot predict response structure for chaining. Parameter descriptions are detailed and include constraints (minLength, minimum, enums for codeType). Error handling is present but inconsistent, some tools (bindMemberHandler) have rich recovery guidance; others lack it. Security is strong (no secrets in params, audit logging visible). Composition is excellent, tools form a logical workflow (find_store → get_menu → preview_order → prepare_order → place_order). STDIO transport caps protocol readiness at 50.

• Document output schemas for all tools. Example for get_menu: 'Returns {categories: [{name: string, goodsId: string, price: number, tags: string[]}]} or {goods: [...]} depending on keyword param.' This enables LLM response parsing.
• Add tool annotations to MCP schema: mark place_order and bind_member with destructiveHint=true, mark all read tools with readOnlyHint=true. This signals intent without requiring description parsing.
• Enhance error handling in get_menu, preview_order, find_store with explicit error classification. Example: 'If storeId not found, return {error: "store_not_found", available_stores: [...]}' instead of generic failure.
• Add a confirmation_required field to prepare_order response schema to signal the two-phase pattern. LLMs will then know to extract confirmToken and call place_order next.
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport to enable remote client access and hosted deployment scenarios.