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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

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses search scope ('every menu item across all restaurants'), grouping behavior, return fields (price, description, dietary labels, place URL), and conditional behavior when query is omitted. It does not cover rate limits, errors, or pagination, but offers substantial transparency.

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 is concise, with three sentences each serving a clear purpose: purpose, example/details, and usage instruction. No redundant or filler content.

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

Completeness4/5

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

The tool is simple (2 optional params, no output schema), and the description provides essential context: output fields, default behavior, and a usage pattern. It does not mention pagination or sorting, but for a search tool with clear examples, this is adequate. Sibling context suggests this fills a unique niche.

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 description coverage is 100%, so baseline is 3. The description adds value by providing a concrete query example and explaining the effect of omitting the query, which goes beyond the schema's simple field descriptions.

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 a specific verb ('Find') and resource ('which restaurants serve a dish'), and further distinguishes itself from siblings by describing the site-wide menu search and grouping by dish. The example with 'feijoada' reinforces the purpose.

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?

It provides explicit guidance on when to use the tool ('Use this for any "where can I eat X" question') and describes the behavior of omitting the query. However, it does not explicitly mention alternative tools or exclusions, so it stops short of a 5.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: booking services, restaurant reservations, event tickets, and RSVPs are all clearly separated by domain and described with explicit use cases. Similarly, search_places, search_dishes, and get_restaurant_menus cover different granularities of place/menu lookup. The descriptions include guidance on when to use each tool, eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_*, get_*, create_*, search_*). While a few verbs like 'request' and 'rsvp' differ, they accurately reflect the action's semantics and do not break the overall consistency. The naming makes the tool's purpose predictable from its name.

Tool Count4/5

At 28 tools, this is a large set, but it serves a broad multi-domain directory (places, events, movies, store, bookings, content, etc.). Each tool covers a distinct feature or resource, and there are no redundant tools. The count is at the upper boundary but appropriate for the server's comprehensive scope.

Completeness5/5

The tool surface covers the full lifecycle for the directory's main domains: search/discover places, view details, menus, reviews, book services, reserve/RSVP events, browse movies/showtimes, list products, access content (blog, guides, FAQs), submit forms, and check loyalty. There are no obvious dead ends or missing operations for the stated purpose. The inclusion of pairing tools like list_forms→submit_form and get_availability→create_booking shows deliberate workflow completeness.

Resources