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Glama

Pinheiros

by io.github.junoventures

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

A4.6/5.0
Behavior4/5

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

Describes return structure (grouped by dish with price, description, labels, URL) and behavior when query is omitted. No annotations, so description carries burden; it's sufficiently transparent without mentioning auth or limits.

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?

Two sentences, front-loaded with purpose, zero waste. 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?

For a simple 2-parameter tool with no output schema, the description fully explains behavior and return format. No gaps.

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

Parameters5/5

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

Schema coverage is 100%, but description adds useful context: default/max for limit, and that omitting query lists top dishes. Example clarifies usage.

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?

Clearly states the tool finds which restaurants serve a dish, with a concrete example ('feijoada') and description of grouping. Distinct from siblings like search_places or 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?

Explicitly says 'Use this for any "where can I eat X" question.' Also explains omitting query for top dishes. Missing explicit when-not-to-use or alternatives, but guidance is clear.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct operation: bookings, restaurants, events, forms, etc. Even similar actions like create_booking and request_reservation are clearly differentiated by domain and description.

Naming Consistency5/5

Tools follow a consistent verb_noun pattern (e.g., create_booking, get_availability, list_blog_posts). Collection retrieval uses list_ while single item uses get_, which is a standard and clear convention.

Tool Count4/5

28 tools is on the upper end, but each serves a distinct function for a comprehensive neighborhood directory (places, events, booking, forms, etc.). No obvious bloat given the scope.

Completeness5/5

The tool surface covers all major user intents for a local directory: searching places, getting menus, booking services, viewing events, submitting forms, etc. No critical gaps are apparent.

Resources