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Flux159
by Flux159

kubectl_rollout

Destructive

Manage Kubernetes resource rollouts: pause, resume, restart, view history, check status, or undo changes to deployments, daemonsets, and statefulsets.

Instructions

Manage the rollout of a resource (e.g., deployment, daemonset, statefulset)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subCommandYesRollout subcommand to executestatus
resourceTypeYesType of resource to manage rollout fordeployment
nameYesName of the resource
namespaceYesKubernetes namespacedefault
revisionNoRevision to rollback to (for undo subcommand)
toRevisionNoRevision to roll back to (for history subcommand)
timeoutNoThe length of time to wait before giving up (e.g., '30s', '1m', '2m30s')
watchNoWatch the rollout status in real-time until completion
contextNoKubeconfig Context to use for the command (optional - defaults to null)
Behavior3/5

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

Annotations already provide destructiveHint=true, alerting to potential destructive actions. The description adds no further behavioral context (e.g., whether subcommands are irreversible). No contradiction with annotations.

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?

Single sentence, front-loaded with purpose and examples. No wasted words; efficient for the information provided.

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?

Given 9 parameters, 4 required, and no output schema, the description is too brief. It does not explain subcommand behaviors, return values, or important usage notes, leaving the agent underinformed.

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

Parameters3/5

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

Schema coverage is 100%, with detailed descriptions for all 9 parameters. The tool description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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 the tool manages rollout of resources with examples, which is clear. However, it does not explicitly differentiate from sibling tools like kubectl_apply or kubectl_scale, though the resource focus is implied.

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, nor when to use specific subcommands (e.g., pause vs undo). The description lacks context for appropriate invocation.

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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