Skip to main content
Glama
raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_get_daemonset

Retrieve daemonset information from Cloudeka's Kubernetes environment using the cldkctl CLI through MCP server integration.

Instructions

Call the cldkctl_get_daemonset endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to do so—it doesn't indicate if this is a read-only operation, what permissions are required, potential side effects, or response format. The phrase 'call the endpoint' is vague and adds no behavioral context beyond the implied 'get' action from the name.

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

Conciseness3/5

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

The description is a single sentence with no wasted words, but it's under-specified rather than concise. It front-loads the action ('call') but lacks substance. While structurally simple, it fails to convey meaningful information, making it inefficient in terms of helpfulness 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?

Given the tool's complexity (implied by Kubernetes daemonset operations) and lack of annotations or output schema, the description is severely incomplete. It doesn't explain what a daemonset is, what data is returned, or any operational context. For a tool with no structured support, this minimal description is inadequate for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate since there are none. A baseline of 4 is applied as it correctly avoids unnecessary information, though it doesn't enhance semantics beyond the schema.

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_get_daemonset endpoint' is tautological—it restates the tool name with minimal action ('call'). It doesn't specify what the tool actually does (e.g., retrieve daemonset information) or distinguish it from siblings like cldkctl_get_deployment or cldkctl_get_pod. While 'get' implies retrieval, the description lacks a clear verb-resource pairing beyond the name.

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. It doesn't mention prerequisites, context (e.g., Kubernetes cluster management), or differentiate from similar tools like cldkctl_get_deployment. The description offers no usage instructions, leaving the agent to infer from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/raffelprama/mcp-cldkctl'

If you have feedback or need assistance with the MCP directory API, please join our Discord server