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Flux159
by Flux159

list_api_resources

Read-only

Lists Kubernetes API resources available in the cluster, with filtering by API group, namespace, and verbs.

Instructions

List the API resources available in the cluster

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiGroupNoAPI group to filter by
namespacedNoIf true, only show namespaced resources
contextNoKubeconfig Context to use for the command (optional - defaults to null)
verbsNoList of verbs to filter by
outputNoOutput format (wide, name, or no-headers)wide
Behavior2/5

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

The description adds no behavioral insights beyond the 'readOnlyHint' annotation. It lacks details on output format behavior, pagination, or permission requirements.

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?

A single short sentence that is front-loaded with the key action. However, it could be more informative without losing conciseness.

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?

Description is too minimal for a tool with 5 optional parameters and no output schema. It omits how filtering works or what the response looks like, making it incomplete for an agent to use effectively.

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?

Input schema covers 100% of parameters with descriptions, so baseline is 3. The description adds no parameter meaning beyond what the schema provides.

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 uses a specific verb ('List') and resource ('API resources'), and clearly distinguishes from sibling tools like kubectl_get or kubectl_describe by focusing on resource discovery rather than object retrieval.

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 explicit guidance on when to use this tool versus alternatives. It does not mention when not to use it or provide context for filtering options like apiGroup or verbs.

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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