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mmpyro

vcluster-mcp

by mmpyro

vcluster_pause

Pause a running vcluster to suspend workloads without deleting it, preserving cluster state for later resume.

Instructions

Pause a running vcluster.

This function pauses a running vcluster, which stops the virtual cluster without deleting it. This is useful for temporarily suspending workloads while preserving the cluster state.

Args: name: The name of the vcluster to pause. namespace: Optional namespace where the vcluster is located. If not provided, defaults to the vcluster name. kubeconfig_path: Optional path to a kubeconfig file. If not provided, the default kubeconfig from the environment will be used.

Returns: Union[CommandResult, str]: CommandResult on success, or error object if failed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
namespaceNo
kubeconfig_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the operation is non-destructive ('without deleting it') and preserves state, and it mentions the return type. However, it does not detail potential side effects, prerequisites, or behaviors on failure beyond returning an error object.

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 well-structured with a summary, Args, and Returns sections. It is concise, front-loaded with purpose, and every sentence adds value. No redundancy or unnecessary content.

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?

The description covers the purpose, parameter semantics, return value, and a typical use case. A minor gap is the lack of explicit comparison to sibling tools (e.g., resume, delete) for decision-making, but the provided context is sufficient for correct invocation.

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 input schema has no descriptions for parameters (0% coverage). The description compensates fully by explaining each parameter: name, namespace (with default behavior), and kubeconfig_path (with default). This is critical for correct invocation.

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 clearly states the tool pauses a running vcluster, with a specific verb and resource. It also explains the effect ('stops the virtual cluster without deleting it'), which distinguishes it from sibling tools like vcluster_resume and vcluster_delete.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: 'This is useful for temporarily suspending workloads while preserving the cluster state.' It implies a comparison with deletion and resume but does not explicitly name alternatives or state 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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