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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_hadoop_list_notebook_components

Read-only

List available notebook components for Hadoop clusters, including Jupyter versions, using region and image product code filters.

Instructions

List available notebook components (e.g. Jupyter versions)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionCodeNoRegion code
cloudHadoopImageProductCodeNoImage product code filter
Behavior3/5

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

Annotations indicate readOnlyHint=true, and description confirms a read operation ('List'). No additional behavioral context (e.g., pagination, response format) is provided, but consistency with annotations is maintained.

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

Conciseness4/5

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

Single concise sentence with a parenthetical example. No wasted words, and the key information is front-loaded.

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

Completeness4/5

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

Given the tool is a simple listing operation with two optional parameters and no output schema, the description is adequate. It explains the purpose and gives an example, though omitting typical output fields is acceptable for a minimalistic description.

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%; both parameters ('regionCode', 'cloudHadoopImageProductCode') have descriptions. The tool description does not add any further detail beyond the schema, so baseline score is appropriate.

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

Purpose4/5

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

Description clearly states 'List available notebook components' with an example (Jupyter versions). It is specific about the resource and action, but does not explicitly differentiate from sibling tools like ncloud_hadoop_list_notebook_images or ncloud_hadoop_list_notebook_products.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. It does not specify prerequisites, filtering, or comparison with other list tools for notebook resources.

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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