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shufl9dka

yandex-searchapi-mcp

by shufl9dka

image_search

Find images by text query with filters for format, size, orientation, and color. Returns grouped results with thumbnail and original links.

Instructions

Search images by text query. Returns grouped image documents and image metadata like thumbnail/original links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat image you want to find, for example: 'golden retriever puppy'.
searchTypeNoSearch market/domain. Default is SEARCH_TYPE_COM (international).
pageNoResults page index (0 = first page).
siteNoOptional website/domain filter, for example: 'wikipedia.org'.
docsOnPageNoHow many result groups to return on one page.
imageSpecNoOptional set of image-specific filters.
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits like pagination, filtering, or read-only nature beyond the bare return type.

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?

Two concise sentences that efficiently convey the core purpose and output, no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the 6 parameters with full schema descriptions, the description is minimal but covers the main action; lacks selection context relative to siblings.

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 coverage is 100%, and the description adds context about output but does not enhance parameter meaning beyond the schema's 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 clearly states the tool searches images by text query and returns grouped image documents with metadata, distinguishing it from sibling tools like web_search.

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

Usage Guidelines3/5

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

No explicit guidance on when to use vs alternatives, but the purpose implies image-specific searches; it is not misleading.

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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