Skip to main content
Glama

image_search

Read-only

Search for images across multiple engines using a meta-search query. Control result freshness and count to find relevant images.

Instructions

Search for images using SearXNG meta-search engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo
freshnessNo
formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already mark readOnlyHint=true, so the description adds the 'SearXNG meta-search' detail, which provides useful context about the backend. However, it does not disclose any additional behavioral traits (e.g., rate limits, pagination, or result handling) beyond what annotations convey.

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?

Single sentence with no wasted words. Front-loaded with the core action and resource. Efficient and to the point.

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?

Despite having an output schema and annotations, the description lacks parameter explanations (0% coverage) and usage guidance. For a tool with 4 parameters (1 required), this is insufficient for complete understanding and correct invocation.

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

Parameters1/5

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

Schema description coverage is 0%, but the description does not explain any of the 4 parameters (query, max_results, freshness, format). No meaning is added beyond what the schema provides, leaving the agent without guidance on parameter usage or constraints.

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 states 'Search for images using SearXNG meta-search engine,' clearly identifying the verb (search) and resource (images via SearXNG). It distinguishes from sibling tools like 'search' (web) and 'video_search' by specifying images, though it could explicitly mention it's not for general web or video search.

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?

No explicit guidance on when to use this tool versus alternatives (e.g., 'search' for web, 'video_search' for videos). The description only implies image search context, lacking when-not-to-use or sibling comparisons.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/duguobao812718-wq/scout'

If you have feedback or need assistance with the MCP directory API, please join our Discord server