Strong naming conventions (all tools start with action verbs: list_, get_, update_, add_, delete_, set_, upload_, replace_, reorder_). Descriptions are detailed and Japanese-localized, averaging ~150 chars. All 16 tools have explicit input schemas with proper JSON Schema structure. Parameters are well-typed (number, string, boolean, array, object) with descriptions. However, output schemas are not documented, LLMs cannot predict response structure. Error handling guidance is absent. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk levels (READ_ONLY, WRITE, DESTRUCTIVE). Parameter descriptions occasionally lack format/constraint details (e.g., booth_update_variations accepts 'items: {type: object}' with no field documentation).

• Add output schema documentation to all tools. Example for booth_list_items: 'Returns {items: [{id: number, name: string, state: "public"|"private", price: number, url: string, image_count: number, download_count: number}], total: number}'.
• Add tool annotations to all tool definitions. Mark booth_delete_paragraph, booth_delete_download, booth_delete_image, booth_replace_download with destructiveHint: true. Mark booth_list_items, booth_get_item, booth_list_paragraphs with readOnlyHint: true.
• Document booth_update_variations variation object schema. Specify required fields (id, name, price, stock) and optional fields. Example: 'variations: [{id: number, name: string, price: number, stock: number}]'.
• Add error handling guidance to tool descriptions. Example: 'If item_id is invalid, returns 404 with message "Item not found". Try booth_list_items to find valid IDs.' Apply to all tools.
• Document pagination for booth_list_items. Add limit and offset parameters (default limit=20, max=100). Return total count so agents know if more results exist.