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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_k8s_services

Manage Kubernetes services in Cloudeka projects by retrieving service information for specified namespaces. Use this tool to monitor and control service deployments through the cldkctl CLI interface.

Instructions

Call the cldkctl_k8s_services endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID
namespaceYesNamespace
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description reveals nothing about what the tool does—whether it's a read operation, a mutation, what permissions are required, what the response looks like, or any side effects. It's completely opaque about behavior.

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 technically concise with one sentence, this is a case of under-specification rather than effective brevity. The sentence 'Call the cldkctl_k8s_services endpoint' wastes its limited space on redundant information that doesn't help an AI agent understand the tool's purpose or usage.

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?

The description is completely inadequate for a tool with no annotations and no output schema. It fails to explain what the tool does, when to use it, what behavior to expect, or what it returns. Given the complexity implied by the sibling tools and the complete lack of behavioral information, this description provides virtually no useful context.

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%, with both parameters (project_id and namespace) clearly documented in the schema. The description adds no additional meaning about parameters beyond what the schema provides, so it meets the baseline of 3 where the schema does the heavy lifting.

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

Purpose1/5

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

The description 'Call the cldkctl_k8s_services endpoint' is a tautology that merely restates the tool name without explaining what the tool actually does. It doesn't specify what resource it operates on (e.g., Kubernetes services) or what action it performs (e.g., list, get, create). Among siblings like 'cldkctl_get_service' and 'cldkctl_create_service', this provides no differentiation.

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 many sibling tools for Kubernetes operations (e.g., cldkctl_get_service, cldkctl_create_service, cldkctl_k8s_pods), the description offers no context about when this specific endpoint should be invoked, what it returns, or its relationship to other tools.

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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