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?
Describes return content including sections, dishes, prices, and dietary labels. Lacks explicit statement about side effects (e.g., read-only), but the name and context imply safe retrieval.
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?
Three informative sentences with no waste. Purpose, return details, and usage guidance are front-loaded.
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 annotations, description fully covers purpose, input, output content, and prerequisite steps.
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%; description adds value by explaining place_slug meaning, providing an example, and stating its source.
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 'Get the food menu for a specific restaurant' with verb and resource, and context ('on this site'). Distinguishes from siblings by requiring place_slug from search_places or list_categories.
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 to 'Use search_places or list_categories first to find the restaurant's place_slug', guiding the agent on when to use this tool vs 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 (e.g., bookings, events, places, restaurants, movies, forms) with clear boundaries. Even similar actions like create_booking and request_reservation are differentiated by service type (appointment vs restaurant table) and payment flow.
All 28 tools follow the consistent verb_noun snake_case pattern (e.g., create_booking, list_events, search_places). Verbs are appropriate and predictable, with no mixing of conventions.
28 tools is slightly above the typical range, but each tool serves a distinct purpose within the comprehensive neighborhood directory domain. The count is justified by the breadth of features (booking, events, restaurants, movies, etc.).
The tool surface covers most user needs: searching, viewing details, booking, reservations, events, forms, and more. Minor gaps exist, such as no cancellation tools for bookings/reservations, but the core workflows are well-supported.