Skip to main content
Glama

check_k8s_auth

Read-onlyIdempotent

Checks whether an action is allowed on a Kubernetes resource. This is similar to running kubectl auth can-i.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
verbYesRequired. The verb to check. e.g. "get", "list", "watch", "create", "update", "patch", "delete".
parentYesRequired. The cluster to check authorization against. Format: projects/{project}/locations/{location}/clusters/{cluster}
resourceNoOptional. The name of the resource to check.
namespaceNoOptional. The namespace of the resource. If not specified, "default" is used for namespace-scoped resources.
resourceTypeYesRequired. The type of resource to check. e.g. "pods", "deployments", "services".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsNoErrors encountered during auth check.
resultNoThe result of auth can-i check.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by explaining that it 'checks' rather than performs an action, and the `kubectl auth can-i` analogy further clarifies the read-only, non-mutating nature. No contradictions.

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 a single, focused sentence that front-loads the core purpose and includes a concise analogy. Every word earns its place, and there is no redundancy or fluff.

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?

The tool has 5 parameters with full schema documentation, an output schema, and annotations covering safety. The description succinctly conveys the core function and analogy, which is sufficient for an agent to understand and invoke the tool. No critical context is missing given the tool's simplicity.

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 schema covers 100% of parameters with descriptive text (e.g., verb, resourceType, namespace). The tool description itself does not add parameter-level details, but the schema already provides sufficient meaning. This meets the baseline for full schema coverage.

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 tool's purpose with a specific verb and resource: 'Checks whether an action is allowed on a Kubernetes resource.' It also uses a well-known analogy (`kubectl auth can-i`) that reinforces the exact behavior and distinguishes it from sibling tools that perform resource operations like apply, delete, or get.

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 provides clear context that this is for checking authorization, similar to `kubectl auth can-i`. It does not explicitly name alternatives or exclusions, but the tool is unique among siblings (no other auth-check tool exists), making its usage obvious. The analogy gives practical guidance on when to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources