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get_node_pool

Read-onlyIdempotent

Gets the details of a specific node pool within a GKE cluster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRequired. The name (project, location, cluster, node pool id) of the node pool to get. Specified in the format `projects/*/locations/*/clusters/*/nodePools/*`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsNoErrors encountered during node pool retrieval.
nodePoolNoA string representing the NodePool object in JSON format.

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description 'Gets' is consistent with a safe read operation. The description adds minimal behavioral context beyond the scope ('specific node pool' vs list), but it doesn't disclose return format or error behavior. Since annotations cover the safety profile, this is acceptable 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 a single, front-loaded sentence with no filler words. It communicates the essential action and resource in under 20 words, perfectly sized for a simple getter tool.

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

Completeness4/5

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

Given the single parameter fully documented in the schema, strong annotations, and presence of an output schema, the description is mostly complete. However, it lacks any usage guidance relative to sibling list/get tools, which would make it more helpful. For a simple getter, this is a minor gap, so a score of 4 is appropriate.

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 provides 100% coverage for the sole parameter 'name,' including the exact resource format. The description adds no additional parameter semantics, so it relies entirely on the schema. This matches the baseline for high 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 uses the specific verb 'Gets' and identifies the resource as 'details of a specific node pool within a GKE cluster.' This clearly distinguishes it from list_node_pools and get_cluster, making the purpose unambiguous.

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 implies usage when you need details for one specific node pool, but it does not explicitly state when to use this tool over siblings like list_node_pools or get_cluster. There is no explicit when-not or alternative naming, so guidance is only implied.

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.

Resources