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system_df

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Summarize Docker disk usage including layer storage and per-object sizes for images, containers, volumes, and build cache to identify reclaimable space before pruning.

Instructions

Summarize Docker disk usage: layer storage plus per-object sizes for images, containers, volumes, build cache.

Equivalent to docker system df. Use it to find what to reclaim before image_prune / container_prune / volume_prune / buildx_prune; use system_info for daemon config and counts rather than sizes. The reply enumerates every object on the daemon, so expect a large payload on busy hosts.

returns: dict - {"LayersSize", "Images", "Containers", "Volumes", "BuildCache"} with per-object size fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnlyHint=true), description warns of large payload due to enumerating every object, and specifies return structure with dict keys and fields. 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?

Three key points in four sentences: purpose, usage guidance, payload warning. Front-loaded with primary action. No wasted words.

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?

Given no output schema, description includes return dict structure. Provides usage context, payload size warning, and equivalence to known command. Covers all needed information for selection and invocation.

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?

No parameters exist; schema coverage is 100% trivially. Baseline for 0-param tool is 4. Description adds no param info, which is acceptable as none 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?

Description states specific verb 'Summarize' and resource 'Docker disk usage' with clear detail on components (layer storage, images, containers, volumes, build cache). Distinguishes from siblings like system_info and prune tools.

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: before prune operations to find reclaimable space. Also specifies when to use alternative system_info for config/counts instead of sizes.

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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