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ibmcloud-mcp-server

ibmcloud_ks_cluster_create

Provision a Kubernetes cluster on IBM Cloud by defining name, zone, worker count, flavor, version, and VPC details.

Instructions

Create a Kubernetes cluster

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCluster name
zoneYesZone (e.g., dal10)
flavorNoWorker node flavor
vpc_idNoVPC ID for VPC clusters
versionNoKubernetes version
workersNoNumber of workers
subnet_idNoSubnet ID for VPC clusters
Behavior2/5

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

With no annotations, the description carries the full burden of explaining behavior but only says 'Create a Kubernetes cluster.' It does not disclose that cluster provisioning is typically long-running, requires account access, or that VPC vs classic cluster behavior depends on parameters like vpc_id and subnet_id.

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 and front-loaded with the essential action. It avoids unnecessary words, but it borders on under-specification; however, this is more of a completeness concern than a conciseness flaw, so it earns a solid score.

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?

Given the tool has 7 parameters and no output schema, the description is insufficiently rich. It doesn't explain expected outcomes, prerequisites (e.g., existing VPC/subnet), cluster types, or provisioning time. The description alone would leave an agent under-informed for successful 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 input schema covers all 7 parameters with descriptions (100% coverage), so the baseline of 3 applies. The description adds no extra meaning beyond what the schema already provides, though it does not hinder parameter understanding either.

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 (Kubernetes cluster), which distinguishes it from sibling tools like delete, config, and workers. However, it essentially duplicates the tool name and provides no additional differentiating details such as cluster type or scope.

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, prerequisites, or alternatives. It does not mention requirements like IBM Cloud login, billing, or contrast with ibmcloud_ks_cluster_delete or ibmcloud_ks_cluster_config.

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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