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Autom MCP Server

Official
by automdev

Google Images

google_images
Read-only

Search Google Images via API to retrieve image URLs, titles, sources, and dimensions for a query.

Instructions

Google Images. Search Google Images via API and retrieve image results (URLs, titles, sources, dimensions). Credit cost: 1 credit per call.

Input Schema

NameRequiredDescriptionDefault
crNoLimit results to one or more countries. Use country{XX} with | as delimiter (e.g. countryFR|countryDE).
glNoCountry to use for the Google search. Two-letter country code (e.g. us for the United States, uk for United Kingdom, or fr for France).
hlNoLanguage to use for the Google search. Two or three-letter language code (e.g. en, es, fr), optionally followed by a region code (e.g. en-gb, es-419).
lrNoLimit results to one or more languages. Use lang_{xx} with | as delimiter (e.g. lang_fr|lang_de).
pageNoPage number for pagination (1 = first page). Default: 1.
safeNoAdult content filter. active enables Google SafeSearch; off disables it. Omit to use Google default.
asyncNoIf true, returns a job and lets you fetch results asynchronously. Default: false.
queryYesQuery you want to search on Google Images (e.g. "lion", "nike logo", "modern house exterior").
fieldsNoComma-separated list of fields to keep in the response, with dot notation for nested fields (e.g. name,location.city). Does not change the credit cost.
google_domainNoGoogle domain to use for the search. Defaults to google.com. Default: "google.com".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and destructiveHint, so the safety profile is covered. The description contributes the per-call credit cost and the shape of returned data, which are genuinely additive. It says nothing about result volume, pagination limits, or what an async job response looks like, which are the remaining behavioral gaps.

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?

Two short sentences, with the core action front-loaded, and no filler. The leading 'Google Images.' merely restates the title and name, which is the one wasted fragment, but the rest is tightly written.

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?

For a ten-parameter, read-only search tool with full schema coverage and annotations covering safety, the description is nearly sufficient: it names the source, the return payload, and the cost. The absence of guidance on when to prefer this over brave_images and on the async workflow are the only meaningful omissions.

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 all ten parameters (query, gl, hl, cr, lr, page, safe, fields, google_domain, async) are already documented in the schema. The description adds no parameter-level meaning beyond the credit note tied to the fields parameter. Baseline 3 applies because the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Search Google Images via API') and enumerates the returned fields (URLs, titles, sources, dimensions), so the agent knows exactly what the tool produces. It does not distinguish itself from close siblings such as brave_images or google_videos, leaving the choice between image search providers to the caller.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no mention of the sibling image-search tools (brave_images) that could substitute. The only contextual note is a pricing statement ('1 credit per call'), which is useful but is not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.