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crunchtools

mcp-podman-crunchtools

by crunchtools

Volume List Tool

volume_list_tool

List Podman volumes and filter by key/value pairs to inventory persistent container storage.

Instructions

List volumes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNoFilter by key/value pairs

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing. 'List' implies a read operation, but there is no mention of pagination, result ordering, whether the operation is read-only, or any permission requirement. For a tool with zero annotation coverage this is a significant gap.

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

Conciseness3/5

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

At two words it is certainly concise and front-loaded, but the brevity reflects under-specification rather than efficiency. It does not waste words, yet it also fails to earn its place by conveying anything beyond the title.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but the description still omits essential context: what the filter keys are, the scope of the listing, and how it relates to the sibling volume_inspect_tool. For a tool in a large sibling set, this is not complete enough to guide reliable invocation.

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

Parameters3/5

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

The single 'filters' parameter has 100% schema description coverage ('Filter by key/value pairs'), so the schema already carries the parameter semantics. The description adds nothing beyond that, which places it at the baseline for high-coverage schemas.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

'List volumes' names a specific verb and resource, so the basic action is unambiguous. However, it gives no scope (all volumes? filtered?) and does not differentiate itself from the many sibling list/inspect tools such as volume_inspect_tool or network_list_tool. It is the minimum needed to identify the operation but adds no distinguishing detail.

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

Usage Guidelines2/5

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

There is no when-to-use guidance: nothing explains when to call this versus volume_inspect_tool, nor whether a container/pod context is required. The reader must infer usage entirely from the name.

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