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kubeopsai

k8s-telemetry-mcp

by kubeopsai

get_node_pressure

Identify Kubernetes nodes experiencing MemoryPressure, DiskPressure, or PIDPressure, and review their resource capacity and eviction status to pinpoint at-risk nodes.

Instructions

Get Kubernetes node pressure conditions, resource capacity, and eviction status. Identifies nodes with MemoryPressure, DiskPressure, or PIDPressure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.6

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosure. It communicates a read-only inspection action and lists what conditions are identified, but it does not mention operational details such as cluster-wide scope, permissions, or how the data is collected.

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?

Two concise sentences with the main action and resource front-loaded, followed by the specific pressure conditions. There is no filler or redundancy.

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 zero-parameter tool with an output schema, the description is functionally complete: it names the resource and the three pressure types. It loses one point for not stating the scope of the query (e.g., all nodes in the cluster) or usage context.

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 has zero parameters, so there is no parameter semantics to clarify; per the baseline for zero-parameter tools, a score of 4 is appropriate.

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 a specific verb ('Get') and resource ('Kubernetes node pressure conditions, resource capacity, and eviction status'), and then names the exact pressure types it returns. This clearly distinguishes it from the sibling logging, metrics, and history tools.

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 usage context is implied by the domain—use this when you need node pressure or eviction status—but the description gives no explicit guidance about when to prefer it over alternatives like get_cluster_health or get_k8s_events, and no when-not-to-use conditions.

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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