Skip to main content
Glama

open-context_get_docker_image

Retrieve Docker image tags and details from Docker Hub, with caching for efficient access.

Instructions

Fetch and cache information about Docker images from Docker Hub, including available tags and image details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagYesDocker image tag (e.g., '1.23.4-bookworm', 'latest', '20-alpine')
imageYesDocker image name (e.g., 'golang', 'node', 'nginx', 'myuser/myapp')
Behavior3/5

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

No annotations are provided, so the description must carry full burden. It mentions 'cache information' which hints at caching behavior but does not disclose rate limits, authentication needs, or error handling. The phrase 'including available tags and image details' gives some clarity on return content.

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 concise sentence with no redundant information. Every word contributes to understanding the tool's purpose.

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

Completeness4/5

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

Given no output schema, the description adequately conveys the tool returns 'information about Docker images... including available tags and image details'. This provides sufficient context for a simple lookup tool.

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 description coverage is 100% with both 'image' and 'tag' parameters clearly described. The description adds 'including available tags and image details' but does not substantially augment the schema beyond 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 'Fetch and cache information about Docker images from Docker Hub', specifying the verb 'Fetch and cache' and the resource 'Docker images'. It distinguishes itself from siblings which are about different technologies like Ansible, Kubernetes, etc.

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 implies usage for Docker image info but does not explicitly state when to use this tool vs alternatives. No guidance on when not to use or prerequisite conditions is provided.

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/incu6us/open-context'

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