Skip to main content
Glama
good-gis

Docker MCP Server

by good-gis

docker_run

Run a Docker container from a specified image, with options for command, environment variables, port mappings, and detach mode for background or foreground execution.

Instructions

Запустить Docker контейнер

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cmdNoКоманда для выполнения в контейнере
envNoПеременные окружения (например, ['NODE_ENV=production'])
nameNoИмя контейнера (опционально)
imageYesНазвание образа (например, 'nginx:latest')
portsNoПробросы портов в формате {'80/tcp': [{'HostPort': '8080'}]}
detachNoЗапустить в фоновом режиме (default: true)
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 side effects like image pulling, container creation, detach behavior, or return values, providing only the basic action statement.

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 that immediately communicates the tool's purpose without unnecessary detail. It is optimally brief and front-loaded.

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 the schema covering parameters, the lack of annotations and output schema means the description should explain behavior and return values. It does not, making it incomplete for a tool with 6 parameters and side effects like image management and port binding.

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?

The input schema provides descriptions for all 6 parameters (100% coverage), so the description does not need to repeat them. The baseline score of 3 is appropriate since the schema handles parameter documentation.

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 'Запустить Docker контейнер' clearly states the action (run) and resource (Docker container), distinguishing it from siblings like docker_ps and docker_stop which manage existing containers. However, it lacks explicit differentiation from alternatives, so it is clear but not exemplary.

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 guidance is provided about when to use this tool versus alternatives. The description simply states the action without context such as prerequisites or use cases, leaving the agent to infer when to invoke it.

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/good-gis/docker-mcp-server'

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