list_gke_clusters

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It mentions listing clusters but does not explicitly state this is a read-only operation, nor does it mention pagination or any other behavior. For a simple list tool, it 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a one-sentence summary followed by Args and Returns sections. No fluff, and the essential information is front-loaded. Every sentence adds value.

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

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

Given the tool's simplicity, the description is mostly complete: it states the purpose, parameters, and return type. However, it does not detail the structure of the returned cluster objects or mention pagination, which could be useful if the list is large. This is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no descriptions (0% coverage), so the Args section adds meaningful context: project_id is defined as the GCP project ID, and region is described as optional with a concrete example ('us-central1'). This compensates for the schema gap, though it does not specify the exact format of project_id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (List), resource (Google Kubernetes Engine (GKE) clusters), and scope (GCP project). This distinguishes it from sibling tools like list_compute_instances or list_node_pools.

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

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

The description provides context by explaining the project_id and optional region filter, but it does not explicitly state when to use this tool versus alternatives like get_cluster_details or list_node_pools. Usage is implied but not directly contrasted with siblings.

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