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Wikimedia-Search-Images

wikimedia_search_images

wikimedia_search_images

Search Wikimedia Commons for images with metadata, download URLs, and optional thumbnails to find and fetch relevant visual content for your projects.

Instructions

Search for images on Wikimedia Commons with metadata including download URLs and optional thumbnail composite image for visual comparison. Use results to e.g. fetch full images that are relevant for your task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
offsetNo
licenseNo
include_thumbnailsNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that results include 'metadata including download URLs and optional thumbnail composite image,' which gives some insight into outputs. However, it fails to disclose critical behavioral traits such as rate limits, authentication requirements, pagination behavior (beyond offset/limit parameters), error conditions, or whether this is a read-only operation. For a search tool with no annotation coverage, this leaves significant 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?

The description is concise and well-structured in two sentences. The first sentence front-loads the core functionality, and the second provides a usage example. There is no wasted verbiage, and each sentence adds value, though it could be slightly more detailed without losing efficiency.

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

Completeness2/5

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

Given the complexity (5 parameters, no annotations, no output schema), the description is incomplete. It lacks parameter explanations, detailed behavioral context (e.g., rate limits, errors), and output specifics. While it covers the basic purpose and a usage hint, it doesn't provide enough information for an agent to confidently invoke the tool without guessing about parameters or behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning none of the 5 parameters have descriptions in the schema. The tool description does not explain any parameters—it doesn't mention 'query,' 'limit,' 'offset,' 'license,' or 'include_thumbnails,' nor does it clarify their purposes, formats, or constraints. With low coverage and no compensation in the description, this falls short of the baseline expectation.

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 clearly states the tool's purpose: 'Search for images on Wikimedia Commons with metadata including download URLs and optional thumbnail composite image for visual comparison.' It specifies the verb ('Search'), resource ('images on Wikimedia Commons'), and key outputs (metadata, download URLs, thumbnails). However, without sibling tools, it cannot demonstrate differentiation from alternatives, preventing a perfect score.

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?

The description provides implied usage guidance: 'Use results to e.g. fetch full images that are relevant for your task.' This suggests a workflow where this tool is used for discovery before fetching images. However, it lacks explicit when-to-use rules, prerequisites, or comparisons to alternatives (none exist here), making it adequate but not comprehensive.

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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