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ncloud-mcp-server

ncloud-mcp-server

by sjk4425
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

ncloud_hadoop_backup_config

Backs up all Cloud Hadoop cluster component configurations to an Object Storage bucket, creating a recovery point to restore settings after failure or migration.

Instructions

Backup all cluster component configurations to Object Storage bucket

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": {
      "cloudHadoopInstanceNo": "<cloudHadoopInstanceNo>"
    },
    "name": "ncloud_hadoop_backup_config"
  }
}

Input Schema

NameRequiredDescriptionDefault
regionCodeNoRegion code
cloudHadoopInstanceNoYesCloud Hadoop instance number

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.10.1

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries full transparency burden. It states what is backed up and the destination, but fails to disclose key behavioral traits such as whether the backup overwrites existing data, whether a bucket must already exist, or whether permissions are required for the Object Storage write. The word 'all' implies scope, but nuances like destructuring location or asynchronous nature are omitted.

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

Conciseness5/5

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

The description is a single concise sentence that front-loads the action verb and clearly states the object and target. Every word contributes to conveying the tool's purpose without redundancy or fluff.

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

Completeness3/5

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

The tool is relatively simple with one required parameter and no output schema, so the description is reasonably adequate. However, it omits details about how the Object Storage bucket is selected, since no bucket parameter exists in the schema, and does not indicate whether the operation returns a job ID or status. These gaps leave some ambiguity for an agent invoking the tool.

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?

The input schema already documents both parameters with clear descriptions, achieving 100% coverage. The description adds no additional parameter-level semantics beyond what the schema provides, so the baseline score of 3 is appropriate.

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

Purpose5/5

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

The description uses a specific verb ('backup') with a clear resource ('all cluster component configurations') and destination ('Object Storage bucket'), establishing exactly what the tool does. This clearly distinguishes it from sibling tools, which operate on clusters for creation, deletion, or listing but not for configuration backup.

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

Usage Guidelines3/5

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

The description implies usage context (use when you need to back up Hadoop cluster configurations), but provides no explicit when-to-use guidance, prerequisites, or exclusions. No alternative tools are mentioned, and the description does not explain scenarios where this tool should not be used.

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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