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ibmcloud-mcp-server

ibmcloud_ks_worker_pool_create

Create a worker pool in an IBM Cloud Kubernetes cluster by specifying cluster, name, flavor, and optional workers per zone. Define node configurations to scale your cluster.

Instructions

Create a worker pool

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesWorker pool name
flavorYesWorker node flavor
clusterYesCluster name or ID
size_per_zoneNoWorkers per zone
Behavior2/5

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

With no annotations, the description is responsible for disclosing behavioral traits. It only says 'Create a worker pool' without mentioning side effects like adding worker nodes to a cluster, potential cost implications, or required permissions. This is a significant gap for a mutation operation.

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?

The description is extremely concise, using only six words, and is front-loaded with the action. However, it is arguably under-specified for a tool with multiple parameters, though it does not contain unnecessary filler.

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?

For a creation operation with four parameters, no output schema, and no annotations, this description is inadequate. It does not explain what a worker pool is, when to create one, or what the expected outcome is, leaving the agent without sufficient contextual understanding.

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 input schema provides 100% coverage for all four parameters, each with a description, so the baseline is 3. The description adds no additional meaning or context about the parameters beyond what the schema already states.

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 clearly states the action (create) and resource (worker pool), which is specific enough to understand the tool's basic purpose. It distinguishes from sibling tools like ibmcloud_ks_worker_pool_resize and ibmcloud_ks_worker_pools by the 'create' verb, but does not explicitly contrast with them.

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 is provided on when to use this tool versus alternatives such as ibmcloud_ks_cluster_create or ibmcloud_ks_worker_pool_resize. The description lacks any context about prerequisites, typical scenarios, or when to choose another tool.

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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