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Flux159
by Flux159

kubectl_get

Read-only

Retrieve a specific Kubernetes resource by type and name, or list all resources of a type, with optional namespace, label, and field selectors, and choose output format.

Instructions

Get or list Kubernetes resources by resource type, name, and optionally namespace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resourceTypeYesType of resource to get (e.g., pods, deployments, services, configmaps, events, etc.)
nameNoName of the resource (optional - if not provided, lists all resources of the specified type)
namespaceNoKubernetes namespacedefault
outputNoOutput formatjson
allNamespacesNoIf true, list resources across all namespaces
labelSelectorNoFilter resources by label selector (e.g. 'app=nginx')
fieldSelectorNoFilter resources by field selector (e.g. 'metadata.name=my-pod')
sortByNoSort events by a field (default: lastTimestamp). Only applicable for events.
contextNoKubeconfig Context to use for the command (optional - defaults to null)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is clear. Description adds that it can get or list, but lacks additional behavioral traits like output format (though schema covers enum) or pagination behavior. With annotations, this is adequate but not excellent.

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?

One sentence of 14 words, front-loaded with verb and object. No unnecessary words. Highly concise and well-structured.

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 9 parameters and no output schema, the description is too brief. It doesn't explain return values or behavior (like formatting options or listing vs getting). The schema covers parameters but the description should provide a high-level overview, which it does but minimally. Lacks completeness for a complex tool.

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%, so parameters are well-documented. Description does not add meaning beyond what's in the schema (e.g., no explanation of interaction between name and list behavior, which is implied). Baseline 3 is appropriate.

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 the action ('Get or list') and the resource ('Kubernetes resources') with key parameters (resource type, name, namespace). It distinguishes from siblings like kubectl_describe (detailed) and kubectl_logs (logs).

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 on when to use this tool versus alternatives. For example, it doesn't contrast with kubectl_describe for detailed info or kubectl_logs for pod logs. The description assumes agent knows context.

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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