Skip to main content
Glama

Get venue details

get_venue
Read-only

Get the full Dim Hour record for one venue: description, signature dishes, address, hours, phone, happy hour, reservation platform, awards, website, Instagram, and (for Iconic 50 venues) the long-form story.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoVenue id from search_venues
cityYesCity name or key
nameNoVenue name (used if id not given)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
latNo
lngNo
urlYes
nameYes
tagsYes
hoursYes
phoneYes
priceNo
scoreNo
storyNo
awardsYes
dishesYes
iconicNo
openedNo
addressYes
cuisineYes
websiteYes
photoUrlYes
trendingNo
city_nameYes
instagramYes
happy_hourYes
highlightsNo
price_tierNo
descriptionYes
reservationYes
neighborhoodYes
other_locationsNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already cover the read-only, non-destructive nature of the tool. The description adds useful behavior context by listing the returned fields and noting the special long-form story condition for Iconic 50 venues. However, it does not disclose behaviors such as parameter precedence, required city context, error cases, or rate 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?

The description is a single front-loaded sentence that states the primary purpose immediately and then uses a compact field list to convey the response contents. Every phrase earns its place with no redundant filler.

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?

Between the explicit field list, the Iconic 50 conditional, the read-only annotations, and a fully described input schema, an agent can understand what this tool returns and that it is a safe read operation. The main gap is the lack of guidance on how to choose among id, city, and name when invoking the tool.

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?

Schema description coverage is 100%, so the schema already documents id, city, and name. The description adds no additional parameter-level meaning, such as how id and name interact or why city is required, so it stays at the baseline for high schema coverage.

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 identifies the action ('Get') and the resource ('the full Dim Hour record for one venue'), then enumerates the exact content fields returned. This distinguishes it from the list/search siblings, which operate over multiple venues, by emphasizing a single-venue detail lookup.

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

Usage Guidelines2/5

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

The description gives no explicit guidance on when to use this tool versus alternatives like search_venues or search. It implies a detail-lookup purpose ('full record for one venue'), but does not tell the agent to first obtain a venue id via search_venues or explain the role of the required city parameter.

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

A3.8/5.0
Disambiguation2/5

fetch and get_venue both retrieve essentially the same full venue record, differing only by an extra long-form story field. Similarly, search and search_venues both search the same catalog and return ranked venue results, making it unclear which one an agent should call and creating real misselection risk.

Naming Consistency3/5

The list_* tools are consistent and readable, and most tools use snake_case verb_noun naming. However, fetch and search are bare verbs, and fetch vs get_venue introduces two different verbs for the same operation, so the overall pattern is mixed but still understandable.

Tool Count4/5

Seven tools is a reasonable size for a venue guide server, but the count is slightly padded because fetch duplicates get_venue and search duplicates search_venues. The effective surface is closer to five distinct tools, so the count is slightly over what is needed.

Completeness4/5

The read-only domain is well covered: city discovery, search, curated editorial lists, new venue updates, and full venue details are all present, and search naturally leads into detail retrieval. Minor gaps exist, such as no dedicated non-search way to browse all venues in a city, but the core workflows have no dead ends.

Resources