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list_k8s_api_resources

Read-onlyIdempotent

Retrieves the available API groups and resources from a Kubernetes cluster. This is similar to running kubectl api-resources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parentYesRequired. The cluster, which owns this collection of resource types. Format: projects/{project}/locations/{location}/clusters/{cluster}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsNoErrors encountered during discovery.
groupsNoThe list of API group discovery.

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is clear. The description adds the kubectl analogy and scope, but no extra behavioral details (e.g., whether it requires specific permissions or list pagination). With annotation coverage, this is adequate but not rich.

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?

The description is two concise sentences that both earn their place: the first states the core action and object, the second gives a useful analogy. No filler or redundant wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple, read-only listing tool with one parameter, strong annotations, and an output schema. The description provides sufficient context for an agent to select and invoke it correctly; nothing important is missing.

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 description coverage is 100% and the sole parameter 'parent' is fully documented in the schema with format guidance. The tool description adds no additional parameter semantics, so the baseline score of 3 applies.

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 ('Retrieves') and resource ('available API groups and resources from a Kubernetes cluster'), and the analogy to `kubectl api-resources` makes the purpose unmistakable. It clearly distinguishes this from sibling list tools like list_clusters or list_k8s_events.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies when to use it (to discover API groups and resources) and the analogy to kubectl api-resources provides a familiar reference. However, it does not explicitly mention alternatives or when not to use it, falling short of full usage guidance.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools target distinct actions and resources, but a few pairs could confuse agents, such as get_cluster (GKE cluster details) vs get_k8s_cluster_info (kubectl cluster-info), or apply_k8s_manifest vs patch_k8s_resource. Overall, descriptions help clarify the differences.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in lowercase snake_case (e.g., create_cluster, list_node_pools, get_k8s_logs). There are no mixed conventions or unpredictable naming variations.

Tool Count4/5

With 23 tools, the server covers both GKE cluster management and in-cluster Kubernetes operations, which justifies the count. It is slightly on the heavier side but remains within a reasonable scope for such a broad domain.

Completeness3/5

The tool surface covers create, read, update, and list operations for clusters and node pools, but notably lacks delete_cluster and delete_node_pool. This leaves an obvious lifecycle gap that agents cannot work around without additional tooling.

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