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rsp2k
by rsp2k

k8s_analyze_kubernetes_cluster_costs

Analyze a Kubernetes cluster's estimated costs, including per-node breakdown and total monthly spend. Provide cluster label or ID to get the analysis.

Instructions

Analyze the estimated costs of a Kubernetes cluster. Smart identifier resolution: use cluster label or UUID.

Args: cluster_identifier: The cluster label or ID

Returns: Cost analysis including per-node costs and total estimated monthly cost

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses identifier resolution behavior and the shape of the returned cost analysis, but it never explicitly states that the operation is read-only or what permissions might be needed, leaving side effects somewhat ambiguous.

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?

The description is compact and front-loaded with the core purpose. The Args block is minimal and the Returns block adds useful output detail; there is no filler or unnecessary repetition beyond the expected docstring structure.

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?

For a one-parameter analysis tool, the description covers the essential information: identifier resolution, purpose, and key outputs. It could be more complete by explicitly stating non-mutating behavior and when to choose it over other k8s or billing tools, but the low complexity keeps the gap small.

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?

Schema description coverage is 0%, but the single parameter is well explained: cluster_identifier can be a cluster label or UUID. This adds real meaning beyond the bare string type in the schema, even though the phrase 'cluster label or ID' is somewhat redundant.

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?

The description states a clear verb-resource pair: 'Analyze the estimated costs of a Kubernetes cluster.' It also names the concrete outputs (per-node costs and total estimated monthly cost), which helps an agent distinguish it from k8s_get_kubernetes_cluster or status tools, though it never explicitly names any sibling.

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 guidance on when to prefer this tool over related k8s inspection tools or billing cost-analysis tools. The only usage hint, 'Smart identifier resolution: use cluster label or UUID,' addresses parameter format rather than tool selection, so the agent is left to infer the use case.

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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