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create_service

Create a Kubernetes Service in a specified namespace using basic configuration or a raw YAML manifest.

Instructions

Creates a new Service. Use either basic configuration or provide a raw YAML manifest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNoPort the service exposes
typeNoService type (ClusterIP, NodePort, LoadBalancer)ClusterIP
dryRunNoIf true, simulates the action without making changes
clusterNoTarget cluster name (default: 'default')
selectorNoLabel selector for the pods (e.g. { app: 'my-app' })
namespaceYesThe Kubernetes namespace
targetPortNoTarget port on the pod
serviceNameNoThe name of the Service to create
yamlManifestNoFull YAML manifest for advanced Service creation
Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses the creation action and the dryRun parameter for safe simulation, but does not detail permissions, idempotency, or what happens if the service already exists. Mention of dryRun helps but more behavioral context is needed.

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?

Two sentences that are front-loaded with the purpose and succinctly cover the main usage options. No unnecessary words; every sentence provides value.

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?

Given 9 parameters, one required, and no output schema, the description could elaborate on return values, success/failure indicators, or default behavior. It covers the two modes but leaves out integration details like cluster specification and default cluster. Adequate but not fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds value by explaining the two configuration modes, clarifying that basic configuration uses individual parameters while yamlManifest bypasses them. This contextual grouping aids understanding beyond the schema.

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 tool creates a new Kubernetes Service and mentions two configuration modes (basic or YAML manifest). It is specific about the resource but does not explicitly differentiate from sibling create tools like create_deployment or create_job, which also create Kubernetes resources.

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 guidance on two usage paths (basic config vs YAML manifest), but does not specify when to use this tool over siblings, nor provide prerequisites or exclusions. The context is implied but not explicit.

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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