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ay-garg

OpenShift 4 MCP Server

by ay-garg

stop_notebook

Stop a running Notebook by setting the kubeflow-resource-stopped annotation. Provide the notebook name and namespace.

Instructions

Stop a running Notebook by setting the kubeflow-resource-stopped annotation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
clusterNo
namespaceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states the action (setting an annotation) but does not mention side effects, idempotency, whether it requires specific permissions, or what happens if the notebook is already stopped.

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

Conciseness3/5

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

The description is a single sentence, which is concise but may be too brief given the lack of parameter context. Every word serves purpose but more detail is needed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, but with 3 parameters undocumented and no output described, the description is incomplete. An agent cannot determine required inputs or expected results beyond the basic action.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain parameter meanings. It mentions no parameters, leaving name, namespace, and cluster entirely unexplained. This is insufficient for an agent to fill them correctly.

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 clearly states the tool stops a running notebook and specifies the mechanism (setting a kubeflow-resource-stopped annotation). This provides a specific verb and resource, distinguishing it from sibling tools like list_notebooks.

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?

No guidance on when to use this tool versus alternatives, no prerequisites like requiring the notebook to be running, and no mention of when not to use it.

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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