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KubeCraft MCP Server

KubeCraft MCP Server

by cloudcrafttech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Register License

register_license

Register your email address and optionally apply a new license key, binding it to your machine's hardware fingerprint. Works even with expired licenses.

Instructions

Register or update your email address and optionally apply a new license key. Binds the license to the current machine's hardware fingerprint. Works even when the license is expired.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "email": "<email>"
    },
    "name": "register_license"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYesYour email address to associate with this license
license_keyNoOptional new license key to apply (replaces existing token)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses key behavioral traits: it binds to the machine's hardware fingerprint and works even with an expired license. No annotations exist, so this description carries the full burden. It does not mention error handling or side effects, but the disclosed behaviors are significant.

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 concise, consisting of two sentences with no wasted words. It front-loads the main purpose and adds important constraints efficiently.

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 the absence of annotations and output schema, the description covers the core functionality and key constraints. It lacks information about return values or success/error signals, which would improve completeness, but is still adequate for most uses.

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?

The input schema already describes both parameters with 100% coverage. The description adds context about hardware binding but does not provide additional semantic details for the parameters themselves beyond what the schema offers.

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 registers or updates email and optionally applies a license key. It specifies the binding to hardware fingerprint and that it works with expired licenses, distinguishing it from sibling tools which are all Kubernetes-related.

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 indicates usage for registration or update, covering both cases. It does not explicitly state when not to use or compare to alternatives, but no sibling license tools exist, making it clear this is the sole tool for licensing.

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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