Skip to main content
Glama

image_search

Read-only

Search Docker Hub for public images by keyword. Returns name, description, star count, official status, and automated build info.

Instructions

Search Docker Hub for public images matching a term.

Searches Docker Hub only — not GHCR, ECR, or other registries. For listing tags on a specific image from any OCI registry use registry_tags instead. Each result dict includes name, description, star_count, is_official, and is_automated.

args: term - Search keyword, e.g. "nginx" or "python" limit - Maximum number of results to return (Docker Hub default is 25) returns: list - List of matching image dicts from Docker Hub

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYes
limitNo
Behavior4/5

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

Annotations already indicate read-only and non-destructive behavior. The description adds behavioral context by specifying the search is limited to Docker Hub and listing the result fields, which is helpful but not essential.

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 concise and well-structured: a clear summary sentence followed by scope clarification, result format, and parameter documentation. Every sentence adds value without redundancy.

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?

Complete for a simple tool with two parameters. It covers purpose, scope, result structure, and parameter usage. No gaps remain given the schema and annotations.

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

Parameters5/5

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

Despite 0% schema coverage, the description thoroughly explains both parameters (`term` and `limit`) with examples and default behavior (Docker Hub default 25). This compensates for the schema's lack of documentation.

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 Docker Hub for public images by term, specifies the search scope, and distinguishes it from the sibling tool `registry_tags` by explicitly mentioning its purpose.

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

Usage Guidelines5/5

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

It provides explicit guidance on when to use this tool (Docker Hub image search) and when to use an alternative (`registry_tags` for listing tags on any OCI registry), preventing misuse.

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/GavinLucas/docker-mcp'

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