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ncloud_hadoop_list_addons

Read-only

Lists available add-on components for Cloud Hadoop clusters, filtered by region and image product code, to help identify compatible options before cluster creation.

Instructions

List available add-on components for Cloud Hadoop clusters

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?

The readOnlyHint annotation already communicates the safe read-only nature, lowering the need for the description to repeat that. The description adds minimal context ('available') but does not disclose any additional behavioral traits such as filtering behavior or response scope.

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, front-loaded sentence with no redundant words. Every word contributes to clarifying what the tool does.

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?

For a simple list tool with annotations and complete parameter descriptions, the description is adequate but thin. It does not explain what add-ons are, how results are returned (no output schema), or any specifics about how the optional parameters affect the listing, leaving some ambiguity.

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 coverage is 100% and both parameters ('regionCode', 'cloudHadoopImageProductCode') are meaningful from their descriptions. The tool description adds no extra semantics beyond what the schema already provides, so it meets the baseline for full schema coverage.

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?

The description uses a specific verb ('List') and resource ('available add-on components for Cloud Hadoop clusters'), making its purpose clear. It is reasonably distinct from sibling tools like ncloud_hadoop_list_image_products, though it does not explicitly differentiate itself.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or context for choosing it over similar list tools. Usage context is only implied.

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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