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create_volume

Create a Docker volume to persist data beyond container lifecycles. Specify a name, driver, and options for bind-mounts or NFS shares.

Instructions

Create a volume managed by Docker.

Named volumes persist after their containers stop or are removed; use them for databases, uploads, or any data that must outlive a container. Anonymous volumes (no name) are only removed automatically when the container was started with --rm or removed with docker rm -v; otherwise they accumulate and must be pruned manually. Common driver_opts for the default local driver: bind-mount an existing host path with {"type": "none", "device": "/host/path", "o": "bind"}, or mount an NFS share with {"type": "nfs", "device": "server:/export", "o": "addr=server,rw"}. Third-party drivers (e.g. rexray, convoy) accept their own option keys.

args: name - Volume name; auto-generated if omitted (creates an anonymous volume) driver - Volume driver to use (default: "local") driver_opts - Driver-specific options dict labels - Labels to set on the volume returns: dict - The created volume's attrs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
driverNo
labelsNo
driver_optsNo
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description details behavioral traits: named volumes persist, anonymous volumes accumulate unless pruned, and driver options for NFS or bind mounts. 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.

Conciseness4/5

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

The description is well-structured with a clear lead sentence, followed by behavioral details, driver options, and a param list. While slightly lengthy, every sentence adds value and it remains organized.

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?

Given no output schema, the description covers purpose, persistence, driver options, and return type. It could mention prerequisites (e.g., Docker daemon running) but is otherwise complete for a creation tool.

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

Parameters5/5

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

With 0% schema coverage, the description fully compensates by explaining each parameter (name, driver, driver_opts, labels) with examples, especially for driver_opts. This adds significant meaning beyond the schema.

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 'Create a volume managed by Docker' with a specific verb and resource. It further distinguishes between named and anonymous volumes, making the purpose precise and unambiguous.

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

Usage Guidelines4/5

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

The description provides context on when to use named vs anonymous volumes (e.g., for databases, uploads) and explains persistence behavior, but does not explicitly contrast with sibling tools like run_container that also create volumes implicitly.

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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