Skip to main content
Glama

Yenta Directory

Venue dietary options by name

venue_dietary_options
Read-onlyIdempotent

List a named venue's declared dietary tags and allergens — the exact spellings venue_menu_search matches literally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoDisambiguate a name by city (call list_cities); ignored for a slug.
venueYesVenue name or slug; call search_venues to discover one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNo
itemsNo
reasonNo
sourceNoFR-13: which approved revision an answer was read from, and how fresh. ``source`` is ``approved-content-revision:<id>`` for every read that answers from one venue, and the literal ``directory`` for the two cross-venue reads, which have no single revision to cite.
statusYes
paginationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent/non-destructive behavior; the description adds the key behavioral detail that tags/allergens are returned in the exact spellings used for literal matching.

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?

One front-loaded sentence communicates the purpose and the key matching behavior without redundancy.

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 simple required/optional parameters, complete schema descriptions, rich annotations, and an output schema, the description covers everything needed to invoke the tool correctly.

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

Parameters3/5

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

Input schema already fully describes both parameters, so the description adds no additional parameter-level meaning; baseline 3 applies.

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?

States a specific action and resource ('List a named venue's declared dietary tags and allergens') and differentiates itself from siblings by highlighting exact spellings for venue_menu_search.

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?

Clearly signals its role as the source of literal dietary tag spellings used by venue_menu_search, implying when it is useful. It does not explicitly name alternatives or exclusions.

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.

Resources