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mcp-server-kubernetes

mcp-server-kubernetes

by ACRT-EVAL
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

list_nodes

Retrieve all Kubernetes nodes in the current cluster to inspect availability, status, and compute capacity. Use it to inventory cluster hardware when managing or troubleshooting workloads.

Instructions

List all nodes in the cluster

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_nodes"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.4

TDQS

B3.1/5.0
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. It implies a read operation via 'List', but doesn't state whether it is read-only, whether results are paginated, or what permission level is required. Only the 'all' qualifier hints at scope.

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?

A single, front-loaded sentence with zero waste. It is appropriately sized for a no-argument list tool, though it is somewhat terse.

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?

For a zero-parameter read tool with no output schema, the description is minimally adequate. It doesn't indicate what node information is returned or whether the listing is exhaustive across the cluster, leaving a gap since no output schema documents the response.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline of 4 applies since no parameter semantics need explaining.

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?

States a specific verb ('List') and resource ('nodes in the cluster'), so the agent knows exactly what the tool retrieves. It doesn't explicitly differentiate itself from siblings like list_pods or list_deployments, though 'nodes' is a distinct resource.

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 guidance on when to use this tool versus alternatives, nor any conditions or prerequisites. The agent must infer that this is the read-oriented listing tool for cluster nodes.

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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