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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_hadoop_create_notebook

Provision a Cloud Hadoop notebook instance and connect it to an existing cluster.

Instructions

Create a Cloud Hadoop notebook instance attached to an existing cluster

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bucketNameYesObject Storage bucket name
regionCodeNoRegion code
loginKeyNameYesLogin key name for SSH access
engineVersionCodeNoEngine version code (for Rocky)
notebookNodeSubnetNoYesNotebook node subnet number
cloudHadoopInstanceNoYesCluster instance number to attach
cloudHadoopNotebookNameYesNotebook name (3-15 chars, lowercase+numbers+'-')
notebookNodeProductCodeNoNotebook node server type code
useNotebookBlockStorageNoAdd block storage (default: false)
notebookNodeDataStorageSizeNoStorage GB (when useNotebookBlockStorage=true)
cloudHadoopNotebookComponentYesNotebook component code (use ncloud_hadoop_list_notebook_components)
notebookNodeDataStorageTypeCodeNoStorage type SSD|HDD|CB2 (when useNotebookBlockStorage=true)
cloudHadoopNotebookImageProductCodeNoNotebook image code. Default: latest
Behavior3/5

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

Annotations declare destructiveHint=false, so creation is non-destructive. The description adds minimal behavioral context beyond stating creation and attachment. It does not contradict annotations.

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?

A single sentence of 11 words conveys the essential purpose without waste. It is optimally concise.

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?

Given the complexity (13 parameters, 6 required) and lack of output schema, the description covers the high-level context but could be more helpful with quick prerequisites or tips. The schema fills many gaps.

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%, so baseline is 3. The description adds no additional parameter meaning beyond what the schema provides.

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 clearly states the action (create), the resource (Cloud Hadoop notebook instance), and the attachment context (attached to an existing cluster). It distinguishes well from sibling tools like list, get, and delete notebooks.

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

Usage Guidelines4/5

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

The description implies usage when an existing cluster is available but does not provide explicit exclusions or alternatives. The context is clear enough for an agent to understand when to invoke.

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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