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KubeCraft MCP Server

KubeCraft MCP Server

by cloudcrafttech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

List CSI Drivers

list_csi_drivers

List installed CSI drivers in a Kubernetes cluster, displaying their capabilities (attach, capacity tracking, pod info, fsGroup policy) and per-node registration status from CSINode objects.

Instructions

List installed CSI drivers with their capabilities (attach, capacity tracking, pod info, fsGroup policy) and per-node registration status from CSINode objects.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_csi_drivers"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries full burden. It states the source (CSINode objects) but does not disclose read-only nature, permission requirements, or performance characteristics. As a simple list operation, this is minimally adequate but could be improved.

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 sentence that is front-loaded with the action and clearly states what is listed. Every word contributes meaning; no unnecessary content.

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

Completeness3/5

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

The tool is simple (no parameters, no annotations, no output schema). The description covers the purpose but lacks context about output format, possible results, or when to use. For a list tool among many siblings, more context would be beneficial.

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?

The input schema has no parameters (100% coverage), so description need not explain params. It adds value by detailing the output (capabilities, registration status) beyond schema. Baseline for zero params is 4.

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 the tool lists installed CSI drivers including capabilities and per-node registration status from CSINode objects. It uses a specific verb ('list') and resource ('CSI drivers'), distinguishing it from sibling list tools that target different resources.

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?

No guidance is given on when to use this tool versus alternatives like list_storage_overview or list_resources. The description does not mention context, prerequisites, or trade-offs, leaving the AI agent without clear usage direction.

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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