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Glama

get_restaurant_menus

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
place_slugYesThe slug of the restaurant, e.g. "bar-do-ze" (from search_places or a place URL).

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the output content (sections, dishes, prices, dietary labels) but does not explicitly state that the tool is read-only, nor does it mention any side effects, rate limits, or authorization requirements. The description is adequate but lacks explicit non-destructive declaration.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description comprises two concise sentences with no extraneous information. The first sentence fronts the core purpose, and the second provides essential usage guidance, making it efficient and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one well-documented parameter and no output schema, the description sufficiently explains both the input (how to get place_slug) and the output (menu contents). It covers all necessary aspects for a simple data retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single parameter place_slug, and the description enriches it by explaining the source (from search_places or a URL) and providing a concrete example ('bar-do-ze'). This adds meaningful context beyond the schema definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool retrieves the food menu for a specific restaurant, listing detailed contents such as sections, dishes, prices, and dietary labels. This distinguishes it from siblings like search_dishes (searching across restaurants) and search_places (finding restaurants).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells users to use search_places or list_categories first to obtain the required place_slug, providing clear sequential guidance. It does not mention when not to use the tool, but the prerequisite instruction is valuable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct domain (booking, store checkout, events, restaurant, etc.) with clear descriptions. No two tools have overlapping purposes; even similar actions like create_booking, create_checkout, and reserve_event_tickets are differentiated by their specific contexts.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with underscores (e.g., get_availability, list_blog_posts, reserve_event_tickets). There is no mixing of conventions like camelCase, and verbs are predictable (get, list, create, search, submit, etc.).

Tool Count4/5

With 28 tools, the count is slightly on the high side but justified by the broad scope covering a neighborhood directory with multiple features (places, events, movies, menus, bookings, forms, etc.). Each tool serves a clear purpose, though a few could be consolidated.

Completeness4/5

The tool surface is comprehensive for the server's purpose, covering search, details, bookings, events, movies, menus, blogs, FAQs, forms, and more. Minor gaps exist (e.g., no tool to cancel bookings or update reviews), but core workflows are well-covered.

Resources