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List Kubernetes clusters

upcloud_list_kubernetes_clusters
Read-only

Managed Kubernetes clusters: name, uuid, zone, plan, state, network/CIDR, control-plane IP filter, labels and node groups (plan, count, state). UpCloud: GET /1.3/kubernetes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this is a non-mutating read, so the description doesn't need to carry the safety profile. It adds useful context by disclosing the shape of the returned records (including nested node-group fields), but says nothing about pagination, result limits, or whether clusters across all zones are returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

A single compact sentence that front-loads the resource and its attributes. The trailing 'UpCloud: GET /1.3/kubernetes' is minor redundant metadata, but it does anchor the tool to a concrete API endpoint.

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?

With no input parameters and no output schema, the description's field enumeration is what tells the agent what comes back, making the definition largely self-sufficient for a simple read-only list operation. Only the absence of pagination/scope details keeps it short of complete.

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

Parameters4/5

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

The tool takes zero parameters and the schema is empty, so the baseline is 4. The description correctly implies an unfiltered full listing rather than hinting at hidden filter arguments.

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

Purpose4/5

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

States a specific verb and resource ('Managed Kubernetes clusters') and enumerates the attributes returned (name, uuid, zone, plan, state, node groups), so the agent knows exactly what this retrieves. It does not name or differentiate itself from sibling list tools (list_servers, list_databases), but the resource noun is unambiguous.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, no prerequisites, and no mention of alternative tools. The description is purely a field inventory; an agent must infer that this is the tool to call when it needs Kubernetes cluster inventory.

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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