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docker-mcp-server

docker-mcp-server

by L337-org
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

system_ping

Read-only

Checks Docker daemon responsiveness with a lightweight ping. A failed ping indicates connection configuration issues, signaling whether to reconnect or inspect endpoints.

Instructions

Check that the Docker server is responsive.

The cheapest daemon health check. A failure here usually means connection config rather than daemon load - system_reconnect rebuilds a wedged client, host_list shows the configured endpoints. For daemon details use system_version / system_info.

Returns: bool: True if the daemon responded successfully

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "system_ping"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it is a lightweight check, failure typically indicates connection configuration issues, and it returns a boolean indicating daemon responsiveness. This goes beyond the annotations without contradicting them.

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 one-line core purpose, a short contextual paragraph with routing guidance, and a clear return-value note. Every sentence adds value, and the most important information is front-loaded.

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?

For a zero-parameter, read-only tool with an output schema, the description is complete. It explains what the tool checks, how to interpret failures, which sibling tools to use instead when appropriate, and what the return value means. No needed information is missing.

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

Parameters4/5

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

The tool has zero parameters, and the schema description coverage is 100%, so there is no parameter detail needed. The baseline for zero-parameter tools is 4, and the description correctly makes no misleading parameter claims.

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 states a specific verb and resource: 'Check that the Docker server is responsive.' It also labels itself as 'the cheapest daemon health check' and explicitly contrasts with system_version/system_info, making it easy to distinguish from related siblings.

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?

The description provides clear when-to-use context: it is the cheapest health check, and a failure usually indicates connection config rather than daemon load. It names alternatives directly, such as system_reconnect for wedged clients, host_list for configured endpoints, and system_version/system_info for daemon details.

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

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