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ay-garg

OpenShift 4 MCP Server

list_daemonsets

Retrieve DaemonSets with status counts (desired, ready, available) across all or selected namespaces, using optional label filters and cluster targeting.

Instructions

List DaemonSets with NAMESPACE, NAME, DESIRED, CURRENT, READY, UP-TO-DATE, AVAILABLE, and AGE.

Args: namespace: Namespace to query (empty = all namespaces). label_selector: Label selector to filter DaemonSets. cluster: Named cluster to target (empty = default).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clusterNo
namespaceNo
label_selectorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses the exact output columns and the semantics of empty namespace/cluster values, and 'List' makes the read-only nature evident. It does not discuss permissions, pagination, or failure behavior, but those are lower stakes for a list operation.

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?

The description is two short blocks: a front-loaded purpose line with output columns, then a compact Args list. Every sentence carries operational meaning and there is no 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?

All three optional parameters are documented, the output columns are stated, and a schema exists for the return shape. For a simple read-only listing tool, nothing essential is missing for an agent to invoke it correctly.

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

Parameters5/5

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

The schema provides only titles and defaults, so the description is the sole source of parameter meaning. It explains namespace as a filter with all-namespaces behavior, label_selector as a DaemonSet filter, and cluster as a named-cluster target with default fallback.

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 opens with a specific verb and resource: 'List DaemonSets' and enumerates the returned columns. It is unambiguous, but it does not explicitly contrast itself with sibling listing tools such as list_deployments or list_statefulsets, so differentiation is by resource name only.

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 description implies when to use the tool: whenever a DaemonSet listing is needed, with optional namespace/label/cluster narrowing. It provides no explicit exclusions or alternatives, so an agent has to infer usage from the name and first sentence.

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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