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MCP cldkctl Server

MCP cldkctl Server

by raffelprama
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

cldkctl_k8s_pod_create

Create Kubernetes pods in Cloudeka projects by providing project ID, namespace, and pod specification in YAML or JSON format.

Instructions

Call the cldkctl_k8s_pod_create endpoint

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": {
      "project_id": "<project_id>",
      "namespace": "<namespace>",
      "spec": "<spec>"
    },
    "name": "cldkctl_k8s_pod_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYesProject ID
namespaceYesNamespace
specYesPod spec (YAML/JSON)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior1/5

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 but adds nothing beyond the tautological statement. It fails to indicate that this is a mutation operation (creating a pod), what permissions are required, potential side effects, or any rate limits, making it completely inadequate for a tool that modifies system state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While concise, the single sentence 'Call the cldkctl_k8s_pod_create endpoint' is under-specified and fails to convey useful information. It lacks front-loaded purpose and wastes space on redundant phrasing, making it inefficient rather than appropriately concise.

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

Completeness1/5

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

For a mutation tool with no annotations, no output schema, and complex parameters (including a nested 'spec' object), the description is severely incomplete. It does not explain the tool's behavior, return values, error conditions, or how it differs from similar tools, leaving critical gaps for agent understanding.

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?

Schema description coverage is 100%, so the schema already documents all three parameters (project_id, namespace, spec) adequately. The description adds no additional meaning, examples, or context beyond what the schema provides, which aligns with the baseline score for high schema coverage.

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

Purpose2/5

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

The description 'Call the cldkctl_k8s_pod_create endpoint' is essentially a tautology that restates the tool name without explaining what it actually does. It mentions 'pod_create' in the name, but the description fails to specify that this creates a Kubernetes pod, making it vague about the actual action and resource involved.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives. Given the sibling tools include 'cldkctl_create_pod' and 'cldkctl_k8s_pod_delete', the description offers no differentiation, prerequisites, or context for selection, leaving the agent without 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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