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ncloud_nks_create_node_pool

Create node pools in NKS clusters with autoscaling, labels, taints, and storage options. Use dryRun to preview before applying.

Instructions

Create a new node pool in an NKS cluster. Use dryRun=true to preview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesNode pool name
dryRunNoIf true, preview only
labelsNoNode labels
taintsNoNode taints
zoneCodeNoZone code (required for Regional clusters)
autoscaleNoAutoscale configuration
nodeCountNoNumber of nodes (required if autoscale not set)
clusterUuidYesUUID of the cluster
storageSizeNoStorage size in GB (KVM, 100-2000)
serverRoleIdNoIAM server role ID
softwareCodeNoServer image code
serverSpecCodeNoServer spec code (KVM)
Behavior3/5

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

Annotations only include destructiveHint: false, which is minimal. The description adds the dryRun preview capability, but it does not disclose other behavioral aspects such as the mutating side effects, potential waiting time for provisioning, or what happens on validation failure.

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 two concise sentences with no filler. It front-loads the core purpose and includes a practical usage tip, each sentence earning its place.

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?

This is a complex operation with 12 parameters, nested objects, and no output schema, yet the description is minimal. It lacks crucial context such as return values, preconditions (e.g., the cluster must already exist), and logic around nodeCount vs autoscale, making it insufficient for fully informed invocation.

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 schema has 100% parameter descriptions, so parameters are already fully documented. The description only mentions dryRun, which the schema already explains ('If true, preview only'), adding no new meaning beyond the structured data.

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 node pool in an NKS cluster' with a specific verb and resource, distinguishing it from sibling tools like create_cluster, list_node_pools, and delete_node_pool. The added tip about dryRun=true also provides a distinct behavioral pointer.

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 gives a context: the node pool is created in an NKS cluster, and a specific usage hint: 'Use dryRun=true to preview.' However, it does not explicitly state when to use this tool versus alternatives (e.g., create_cluster or update_node_pool) or mention preconditions like the cluster already existing.

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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