k8s_list_kubernetes_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 clearly indicates this is a read-only list operation and enumerates the fields returned, which is useful. However, it does not disclose pagination behavior, potential large result sets, or any rate-limit considerations. The return field list adds some context beyond the bare operation name.

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 and front-loaded with the core purpose in the first sentence. The return field list is structured and informative, though it is slightly verbose for a simple list operation. Every line earns its place by documenting the response shape, which is valuable given the output schema exists but the description adds readable field semantics.

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?

For a zero-parameter list tool, the description is nearly complete. It states the scope, the resource, and the return fields. The only gaps are minor: no mention of pagination or result ordering, and no explicit differentiation from k8s_get_kubernetes_cluster. Given the tool's simplicity and the presence of an output schema, this is adequate with only small omissions.

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 tool has zero parameters, so there is no parameter semantics burden on the description. The schema is trivially complete (100% coverage with an empty properties object). The description's detailed return field list compensates for the lack of any parameter context, making this a 4 rather than a baseline 3.

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 states a specific verb ('List') and resource ('all Kubernetes clusters in your Vultr account'), which clearly distinguishes it from sibling tools like k8s_get_kubernetes_cluster (single cluster) and k8s_list_kubernetes_node_pools (node pools). The scope is explicit and unambiguous.

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 implies usage context by naming the resource scope ('all Kubernetes clusters in your Vultr account'), which tells an agent this is the right tool for listing clusters. However, it does not explicitly state when to use this tool versus alternatives like k8s_get_kubernetes_cluster for a single cluster, or mention any exclusions or prerequisites.

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