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MCP cldkctl Server

MCP cldkctl Server

by raffelprama
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

cldkctl_project_r_quota_pre

Check project quota availability in Cloudeka before resource allocation to prevent deployment failures.

Instructions

Call the cldkctl_project_r_quota_pre 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>"
    },
    "name": "cldkctl_project_r_quota_pre"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYesProject ID

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 offers none. It doesn't indicate whether this is a read or write operation, what it returns, error conditions, or side effects. For a tool with 'quota' in its name, this lack of transparency is critical.

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 concise but under-specified, consisting of a single sentence that doesn't convey meaningful information. While it avoids verbosity, it fails to provide necessary details, making it inefficient rather than appropriately brief. It's front-loaded but lacks substance.

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 incomplete for a tool with no annotations and no output schema. It doesn't explain the tool's purpose, behavior, or output, leaving the agent unable to understand its function or results. Given the complexity implied by 'quota' operations and the lack of structured data, this is severely inadequate.

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 the single parameter 'project_id' documented as 'Project ID' in the schema. The description adds no additional semantic context about the parameter, such as format or sourcing. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema handles the parameter documentation adequately.

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_project_r_quota_pre endpoint' is a tautology that restates the tool name with minimal added meaning. It vaguely indicates an action ('Call') but doesn't specify what the endpoint does (e.g., retrieve, check, or modify project quota information). Compared to siblings like 'cldkctl_project_r_quota_post', it fails to distinguish its purpose 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, timing, or relationship to sibling tools (e.g., 'cldkctl_project_r_quota_post'), leaving the agent with no context for selection. This absence of usage instructions is a significant gap.

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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