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Glama

search_dishes

Find which restaurants serve a dish in this neighborhood. Searches every menu item across all restaurants on the site, grouped by dish — e.g. query "feijoada" returns each restaurant serving it with price, description, dietary labels, and the place URL. Omit the query to list the most-served dishes. Use this for any "where can I eat X" question.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax dishes to return (default 20, max 50).
queryNoDish name or part of it, e.g. "feijoada", "pizza margherita". Omit to list top dishes.

TDQS

A4.5/5.0
Behavior4/5

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

The description discloses that the tool searches every menu item, groups by dish, and returns price, description, dietary labels, and URL. No annotations were provided, so the description bears full burden, and it does well.

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?

Three concise sentences with no fluff. The purpose is front-loaded, and every sentence adds value.

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?

Despite lacking an output schema, the description fully explains return information and covers both query and no-query modes, making it complete for this 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 covers 100% of parameters with descriptions; the description adds context with an example query and return structure, enhancing understanding.

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 the verb 'Find' and the resource 'which restaurants serve a dish', distinguishing it from sibling tools like search_places and get_restaurant_menus.

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 gives a clear use case ('where can I eat X') and describes behavior for both when query is provided and omitted, but does not explicitly mention when not to use.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct domain (e.g., booking, restaurant reservation, event RSVP, movie showtimes) with clear descriptions that prevent confusion. Overlapping verbs like 'create' are used for different resource types, and the descriptions explicitly distinguish their contexts.

Naming Consistency5/5

All 28 tools follow a strict verb_noun pattern with underscores, e.g., create_booking, get_availability, list_events. No mixing of conventions or inconsistent verb styles.

Tool Count4/5

28 tools is at the upper end of reasonable for a broad neighborhood directory server covering places, bookings, events, movies, store, forms, and more. While each tool serves a distinct purpose, the count feels slightly high for a single server.

Completeness3/5

The tool surface covers core discovery and booking initiation (search, detail, book, reserve), but lacks lifecycle operations like cancel, update, or list user's existing bookings. Several operations require external checkout or confirmation links, creating workflow gaps.

Resources