Get the food menu for a specific restaurant on this site. Returns menus with their sections, dishes, descriptions, prices, and dietary labels (vegan, gluten-free, etc). Use search_places or list_categories first to find the restaurant's place_slug.
| Name | Required | Description | Default |
|---|---|---|---|
| place_slug | Yes | The slug of the restaurant, e.g. "bar-do-ze" (from search_places or a place URL). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses the output includes sections, dishes, descriptions, prices, and dietary labels. Does not mention side effects (not expected for read tool). Could add details about data freshness or error handling, but sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose, no redundant words. Efficiently conveys needed information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description covers purpose, inputs, and prerequisites. Could explicitly mention that the output is a menu for the current availability, but current level is adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the schema already describes place_slug with the same detail (e.g., example slug and source). The tool description adds no new parameter-level information beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool retrieves food menus for a specific restaurant, listing the types of data returned (sections, dishes, prices, dietary labels). It distinguishes from siblings like get_place by focusing specifically on menu data.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly advises using search_places or list_categories first to obtain the place_slug, providing clear prerequisite context. Does not explicitly list when not to use, but the advice implies alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct domain (bookings, store, events, restaurants, movies, etc.) with detailed descriptions that clearly differentiate their purposes. Overlap is minimal and handled by context, such as create_booking vs create_checkout vs request_reservation.
All tools follow a consistent verb_noun pattern in snake_case, using prefixes like get_, list_, create_, search_, etc. The naming is predictable and makes it easy to infer the action and resource.
28 tools is above the typical well-scoped range, but each tool covers a distinct feature of the neighborhood directory (places, events, movies, blog, forms, etc.). The count reflects the integration of multiple Wix apps, which is appropriate for a comprehensive directory.
The tool set covers most user-facing operations for a directory: search places, get details, book services, events, restaurant menus, etc. Minor gaps exist (e.g., no cancellation for bookings, no update operations), but these are likely out of scope for a public-facing server.
