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volume_list

Read-only

List Docker volumes with optional filtering by attributes or to show only volumes created by this server.

Instructions

List volumes.

args: filters - Filter by attributes (e.g. dangling, name, label) managed_only - Only return volumes created by this MCP server (filters on the docker-mcp-server.managed label); combines with any filters given returns: list - A list of volume attrs dicts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNo
managed_onlyNo
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that the tool returns a list of volume attribute dicts and explains the managed_only filter behavior. However, it lacks details on pagination, ordering, or potential performance impacts.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using a few lines to convey purpose, parameters, and return type. It follows a clear structure with 'args' and 'returns' sections. Minor formatting inconsistency (Python docstring style) prevents a perfect score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only listing tool with no output schema, the description covers essential aspects: purpose, parameters (with explanations), and return type. It omits error handling or rate limits, but the low complexity and safety annotations mitigate the need.

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?

Schema description coverage is 0%, so the description compensates by explaining both parameters: filters (with examples) and managed_only (with specific label filtering logic). This adds significant meaning beyond the schema types and defaults.

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 clearly states 'List volumes.' which is a specific verb+resource combination. It distinguishes from sibling tools like volume_inspect (single volume) and volume_create (create volumes) by indicating a listing operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for listing volumes but does not provide explicit guidance on when to use this tool versus alternatives. No exclusion criteria or context for sibling tools are given, leaving the agent to infer.

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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