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KubeCraft MCP Server

KubeCraft MCP Server

by cloudcrafttech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

List DaemonSets

list_daemonsets

View DaemonSets with desired, ready, available, and updated pod counts, node selector, and update strategy. Filter by namespace or omit for all.

Instructions

List DaemonSets with desired/ready/available/updated counts, node selector, and update strategy. Omit namespace for all namespaces. Read-only.

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_daemonsets"
  }
}

Input Schema

NameRequiredDescriptionDefault
namespaceNoKubernetes namespace (omit for all namespaces)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It explicitly states 'Read-only' and outlines the return fields, providing good behavioral context for a simple list operation.

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?

A single sentence front-loads the purpose and includes essential details without any waste. Highly concise and efficient.

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?

Despite no output schema, the description specifies the key fields returned, making it fairly complete for a list tool. Some details like pagination are missing but are not critical for a Kubernetes DaemonSet list.

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?

Only one parameter (namespace) with full schema coverage. The description echoes the schema's 'omit for all namespaces' hint, adding minimal additional meaning. Baseline 3 is appropriate.

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 resource (DaemonSets) and the specific information returned (counts, node selector, update strategy). It differentiates from sibling list tools by mentioning DaemonSet-specific fields.

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

Usage Guidelines3/5

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

The description provides a specific usage note for the namespace parameter (omit for all namespaces) but lacks explicit guidance on when to use this tool versus alternatives. Usage context is implied for Kubernetes experts.

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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