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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_k8s_secrets

Retrieve Kubernetes secrets from a specified namespace and project using the MCP cldkctl Server for managing containerized application configurations.

Instructions

Call the cldkctl_k8s_secrets 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 full burden for behavioral disclosure. The description fails to indicate whether this is a read, write, or destructive operation, what permissions are required, what the response format might be, or any rate limits. It offers no behavioral context beyond the vague 'call' action.

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 the description is brief, it's under-specified rather than appropriately concise. The single sentence 'Call the cldkctl_k8s_secrets endpoint' fails to convey essential information about the tool's purpose or behavior, making it inefficient despite its brevity.

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 tool with 2 parameters, no annotations, no output schema, and numerous sibling tools in a Kubernetes management context, the description is completely inadequate. It doesn't explain what the tool does, when to use it, what behavior to expect, or how it differs from similar tools, leaving critical gaps for an AI agent to understand and invoke it correctly.

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 these parameters beyond what the schema already provides, so it meets the baseline score of 3 for adequate but not additive parameter documentation.

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_secrets endpoint' is a tautology that merely restates the tool name without specifying what the tool actually does. It doesn't indicate whether this retrieves, creates, updates, or deletes Kubernetes secrets, nor does it distinguish this tool from its many sibling tools (like cldkctl_k8s_configmaps or cldkctl_k8s_pods) that also interact with Kubernetes resources.

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?

The description provides no guidance on when to use this tool versus alternatives. With numerous sibling tools for Kubernetes operations (e.g., cldkctl_k8s_configmaps, cldkctl_k8s_pods), there's no indication of whether this is for listing, creating, or managing secrets specifically, nor any prerequisites or context for its use.

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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