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scrapeunblocker-mcp-remote

Scrape Google Images results

google_images
Read-only

Runs the Google Images vertical (udm=2) for q and returns the image results as JSON. Every result carries imageUrl (the full-resolution origin image, not a Google thumbnail; for an image found inside a document such as a PDF, which has no URL of its own, it is Google's thumbnail and sourcePageUrl is the document), sourceDomain and googleImagesUrl (the Google Images viewer link, i.e. the /imgres?... URL a browser copies from the result tile), plus sourcePageUrl, title, sourceName, thumbnailUrl, width, height and fileSize where available. Set proxy_country to target a market: the Google market (gl) follows it automatically, and gl is only an optional override. pages fetches up to 5 result pages of ~100 each; every page fetched is billed as one request. time_range (past hour/day/week/month/year) or date_from/date_to limit the results to images Google found in that period, so a repeated scan returns only what is new. Returns JSON. Billed like an API request; listing plugins bill one unit per result page they fetch, so keep max_results modest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesImage search term, e.g. 'eiffel tower'.
glNoOptional Google market override (ISO-2, e.g. 'us', 'de'). Leave empty and the market follows `proxy_country` ('us' when neither is set). The market, not the proxy country, is what decides which images rank.
pagesNoHow many Google Images result pages to fetch (1-5, ~100 results each; Google stops at ~400-500 per query). Each page fetched is billed as one request. Default: 1.
date_toNoOnly images Google found on or before this date (YYYY-MM-DD). Works alone or with `date_from`; cannot be combined with `time_range`.
date_fromNoOnly images Google found on or after this date (YYYY-MM-DD). Works alone or with `date_to`; cannot be combined with `time_range`.
time_rangeNoOnly images Google found within this recent period: `hour`, `day`, `week`, `month` or `year` (Google Images' Tools > Time filter). Use it to get just the new results on repeated scans. Cannot be combined with `date_from`/`date_to`.
max_resultsNoOptional cap on the number of results returned (default: all results of the fetched pages).
proxy_countryNoProxy country the request is sent from (ISO-2, e.g. 'US', 'DE'). Image results are market-specific.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations cover read-only/safe/open-world status, but the description adds substantial non-obvious behavior beyond them: exact return field semantics (e.g., `imageUrl` is the full-resolution origin, except for PDF-embedded images where it is a Google thumbnail), billing per page, page limits (~400-500 per query), and pagination behavior up to 5 pages.

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?

It is information-dense but front-loads the main purpose and then walks through parameters in a logical order. It is somewhat long and could be tightened, but every sentence carries useful operational detail.

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 an 8-parameter, no-output-schema tool, it covers purpose, output shape, parameter interactions, limits, and billing. An agent has enough information to call it correctly without opening the schema.

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 description coverage is 100%, so the baseline is 3; however, the description adds meaning not fully captured by the schema, such as how `proxy_country` automatically sets `gl` unless overridden, and clarifies `time_range`/`date_from`/`date_to` semantics for repeated scans.

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 verb ('Runs the Google Images vertical') and resource, and identifies the concrete output artifact (image results as JSON) with field-level detail. It is clearly distinguished from siblings like google_search, google_shopping, and google_local by naming the `udm=2` vertical.

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?

Gives clear context for several parameters: use `time_range`/`date_from`/`date_to` for repeated new-result scans, set `proxy_country` to target a market, and keep `max_results` modest due to billing. It does not explicitly say when to prefer this over google_search or other image-capable siblings, but the vertical-specific purpose largely makes that unnecessary.

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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