Skip to main content
Glama
rafaelgaspar

longhorn-mcp

by rafaelgaspar

Create VolumeSnapshot CR

volume_snapshot_cr_create

Create a Longhorn volume snapshot using the Kubernetes VolumeSnapshot CRD, providing a standardized way to capture volume state for backup or recovery.

Instructions

Create a snapshot via the newer VolumeSnapshot CRD-backed action (equivalent to volume_snapshot_create). Longhorn docs: https://longhorn.io/docs/1.12.1/snapshots-and-backups/setup-a-snapshot/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
labelsNo
snapshotNameNo
Install Server

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals the mechanism (CRD-backed) but does not mention side effects, prerequisites, reversibility, idempotency, or what happens on failure. The equivalence claim gives no detail about behavioral differences from the non-CRD path.

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 a single, front-loaded sentence with no filler, and the documentation link is useful supporting context. Every word earns its place.

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?

Given the absence of annotations and output schema, plus three parameters with nested labels, this definition is too thin. It omits required parameter meaning, behavioral results, and any distinction from the equivalent sibling, making it inadequate for safe invocation.

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

Parameters1/5

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

Schema description coverage is 0% and the description adds no meaning for the three parameters. The required `name` is ambiguous: it could be the volume name or the VolumeSnapshot CR name, especially since `snapshotName` is an optional separate field. The agent cannot infer correct values from either schema or description.

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

Purpose4/5

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

The description states a clear verb and resource: create a snapshot via the VolumeSnapshot CRD-backed action. However, it undermines distinction from the sibling volume_snapshot_create by calling the two 'equivalent', leaving the agent unsure how this tool differs operationally.

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?

It names volume_snapshot_create as an equivalent alternative but provides no guidance on when to choose one over the other. The word 'newer' weakly implies a preference, but there is no explicit condition or exclusion to guide tool selection.

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

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rafaelgaspar/longhorn-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server