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KubeCraft MCP Server

Detect Operators

detect_operators

Detect Kubernetes operators on your cluster by analyzing API groups, OLM versions, deployment naming patterns, and labels. Reports operator source, managed CRDs, ServiceAccount, and deployment health.

Instructions

Detect operators running on the cluster by combining signals: known API groups, OLM ClusterServiceVersions, Deployment naming patterns (*-operator, *-controller, *-manager), and operator-style labels. Reports each operator's source, managed CRDs, ServiceAccount, deployment health.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries full burden. It discloses the detection methodology (signals) and output fields (source, managed CRDs, ServiceAccount, health). Does not explicitly state read-only nature or behavior when no operators found, but overall transparent.

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: first describes detection method, second lists output fields. No unnecessary words, front-loaded with purpose.

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?

Given no output schema and no annotations, description adequately covers what the tool does and what it reports. Could specify return format but lists key fields.

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?

Zero parameters, schema coverage 100%, so baseline is 4. Description adds no param info as none exist.

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 it detects operators using specific signals (API groups, OLM CSV, naming patterns, labels) and reports detailed fields. This distinguishes it from sibling detection 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 description implies usage for operator detection but does not explicitly guide when to use this tool vs alternatives like list_deployments or other detection tools. No exclusions or when-not-to-use guidance.

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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