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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_ses_create_cluster

Create a Search Engine Service cluster (G2) with configurable nodes, storage, and authentication. Use dryRun to validate settings before actual creation.

Instructions

Create a new Search Engine Service cluster (G2). Use dryRun=true to preview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vpcNoYesVPC number
dryRunNoIf true, preview only without creating
clusterNameYesCluster name (3-15 chars, lowercase+numbers+'-')
loginKeyNameYesAuthentication key name for SSH access
dataNodeCountYesNumber of data nodes (3-10)
isDualManagerNoManager node redundancy (default: true)
masterNodeCountNoNumber of master nodes (3 or 5)
dataNodeSubnetNoYesData node subnet number
masterNodeSubnetNoNoMaster node subnet (required if master enabled)
dataNodeProductCodeYesData node server type code
dataNodeStorageSizeYesData node storage size in GB (100-2000, 10GB increment)
managerNodeSubnetNoYesManager node subnet number
softwareProductCodeYesOS type code (from getOsProductList)
searchEngineUserNameYesAdmin account ID (3-15 chars)
masterNodeProductCodeNoMaster node server type code
managerNodeProductCodeYesManager node server type code
searchEngineVersionCodeYesSearch engine version code (from getSearchEngineVersionList)
searchEngineUserPasswordYesAdmin password (8-20 chars, letters+numbers+special)
isMasterOnlyNodeActivatedNoEnable dedicated master nodes
searchEngineDashboardPortYesDashboard port (1025-65534, not 9090/9200/9300)
Behavior2/5

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

Annotations only include destructiveHint:false, and the description adds minimal behavioral insight. It mentions the dryRun preview behavior, but does not disclose other important traits such as whether the creation is asynchronous, what resources are consumed, or any side effects beyond creation. Given the complex nature of cluster creation, more transparency would be beneficial.

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 extremely concise with two clear sentences. The key action and dryRun hint are front-loaded, making it easy to scan. No superfluous information is present.

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

Completeness2/5

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

With 20 parameters and no output schema, the description is too brief for a complex creation tool. It does not explain the return value or confirm what a successful creation entails. Important context like required setup (e.g., VPC, subnet, login key) is left to the schema, and the agent must infer relationships between parameters.

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% with detailed descriptions for each parameter (e.g., clusterName constraints, dataNodeStorageSize range). The description does not add any additional meaning beyond what the schema already provides, so it meets the baseline for good schema coverage.

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 'Create a new Search Engine Service cluster (G2)', specifying both the action and the resource. It distinguishes from the G3 variant by including '(G2)' in the description, which is a key differentiator among sibling tools like ncloud_ses_create_cluster_g3.

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 provides a useful usage hint with 'Use dryRun=true to preview', which guides the agent on safe testing. However, it does not explicitly state when to use this tool over alternatives (e.g., G3 version), nor does it mention prerequisites or context where this tool is appropriate.

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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