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system_ping

Read-only

Ping the Docker daemon to confirm it is responsive. Returns true if the server answers, pinpointing connection configuration problems.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds context about failure interpretation ('failure here usually means connection config rather than daemon load') and return semantics (bool). No contradiction with annotations.

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 very short and front-loaded: a clear imperative, a brief usage note, and the return type. Every sentence earns its place; no redundant information.

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 simple, parameterless tool with an output schema and annotations, the description covers purpose, usage guidance, failure interpretation, and return semantics. It is fully complete for the tool's complexity.

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, so the baseline is 4. The description clarifies the return value (bool indicating success), which is sufficient for a parameterless health check.

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 'Check that the Docker server is responsive' with a specific verb and resource. It also distinguishes from siblings by noting 'For daemon details use system_version / system_info', making the unique purpose clear.

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?

Explicitly provides when-to-use and alternatives: 'The cheapest daemon health check... system_reconnect rebuilds a wedged client, host_list shows the configured endpoints. For daemon details use system_version / system_info.' This gives clear context for selecting this tool over others.

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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