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search_images

Search for images across multiple providers with one query. Control result volume per provider and cap the final merged set from sources like Openverse, Wikimedia, Flickr, Unsplash, and NASA.

Instructions

Search images across image providers (Openverse, Wikimedia Commons, Flickr, Unsplash, NASA Image Library).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
num_resultsNoNumber of results per provider.
max_total_resultsNoCap the final merged result set returned to the agent.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not mention that results are merged from multiple providers, whether per-provider limits apply, what the return shape looks like, or any rate-limit/auth considerations. The provider list adds some context but leaves major behavior unspecified.

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?

The description is a single, front-loaded sentence with no filler. Every word contributes to identifying the tool's purpose and scope.

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?

The tool has no output schema, yet the description does not explain what the agent will receive back (e.g., URLs, metadata, licensing). It also omits the aggregation behavior implied by the parameters. For a search tool with multiple providers and no annotations, more behavioral and output context is needed.

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%, so the parameters are already documented well. The description adds provider context but does not clarify how query, num_results, or max_total_results interact beyond what the schema states, which matches the baseline.

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 verb 'Search' and the resource 'images', then enumerates the specific providers involved. This immediately distinguishes it from sibling tools like search_videos and search_web.

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?

The description gives no guidance on when to prefer this tool over search_videos, search_google, or other siblings. It only implies image-specific use through the name and provider list, but does not state exclusions or alternatives.

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