Skip to main content
Glama

HasData Google Maps

google_maps_photos: GET /

hasdata_google_maps_photos_getMapPhotos

Get Place Photos

Fetches the photo gallery of a Google Maps place by dataId or placeId, paginated with nextPageToken and filterable by categoryId (all, latest, menu, by owner, videos, street view). Returns each photo with image URL, thumbnail, upload date, uploader, and photoId. Use for restaurant-menu extraction, venue/ambience visual audits, building rich place detail pages, and sourcing up-to-date imagery for POI listings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoThe two-letter language code for the language you want to use for the search. Provide one exact documented value (159 allowed), e.g. `af`, `ak`.
dataIdNoGoogle Maps data ID. Either dataId or placeId should be set.
placeIdNoUnique reference to a place on Google Maps. Either dataId or placeId should be set.
categoryIdNoFilters photos by category.
nextPageTokenNoToken for fetching the next page of photos.

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?

With no annotations present, the description carries the disclosure burden. It discloses pagination via nextPageToken, filtering by categoryId, and the per-photo return fields (image URL, thumbnail, upload date, uploader, photoId). It does not cover auth, rate limits, or error behavior, but the read-only fetch semantics are clear from 'Fetches.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded, with the core fetch behavior first and use cases last. The opening heading duplicates the tool title slightly, but the remaining sentences are information-dense and each earns its place.

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?

Given there is no output schema, the description compensates by listing return fields and pagination behavior. It covers the main parameters (dataId/placeId, categoryId, nextPageToken) and provides use cases; only the optional hl parameter and required-parameter rules are left to the schema, which documents them adequately.

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 coverage is 100%, so the baseline is 3. The description adds meaning by enumerating categoryId values ('all, latest, menu, by owner, videos, street view'), clarifying the dataId/placeId alternative, and tying nextPageToken to pagination. This goes beyond the schema 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 opens with a specific verb and resource: 'Fetches the photo gallery of a Google Maps place.' It clearly distinguishes this tool from sibling Google Maps tools such as reviews, posts, and place details by centering on photos. The scope (by dataId or placeId) is unambiguous.

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 concrete use cases: 'restaurant-menu extraction, venue/ambience visual audits, building rich place detail pages, and sourcing up-to-date imagery for POI listings.' This tells an agent when the tool is valuable, but it does not explicitly name alternatives or state when not to use it, so it stops short of full routing guidance.

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.