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system_version

Read-only

Retrieve Docker server version details to verify engine and API compatibility before running commands.

Instructions

Return Docker server version information.

Engine version, API level, and per-component versions — the first thing to check for feature availability. system_info reports runtime state (counts, drivers, swarm role) instead.

returns: dict - {"Version", "ApiVersion", "MinAPIVersion", "Os", "Arch", "Components", ...}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description is consistent, adding context about the return format and use case. It doesn't mention further behavioral nuances, but for a simple version-info read, the additional return-value detail is sufficient.

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 front-loaded with the main purpose, adds one line of distinguishing context, and includes a compact return-type hint. Every sentence earns its place with no 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?

For a no-parameter read-only tool, the description is complete: it names the resource, clarifies the difference from sibling `system_info`, and gives expected return fields. No output schema exists, but the inline dict summary fills that gap.

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 input schema is empty with 100% coverage. Since there is nothing to explain, the baseline of 4 applies; no additional parameter information is needed.

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 opens with a specific verb-resource pairing ('Return Docker server version information') and immediately distinguishes itself from sibling `system_info` by explaining that `system_info` reports runtime state instead. This makes the purpose unmistakable and distinct.

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 states when to use this tool ('the first thing to check for feature availability') and names an alternative (`system_info`) with its specific purpose, providing clear when-to-use and when-not-to-use guidance.

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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