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statefulset_list

List statefulsets in a Kubernetes cluster, showing name, namespace, desired/ready/current replicas, and age. Optionally filter by namespace.

Instructions

[READ] List statefulsets (name, namespace, desired/ready/current, age).

Args: namespace: Namespace; omit for all namespaces. target: k8s target name from config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
namespaceNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It indicates the operation is a read with '[READ]', which is useful, but does not disclose any other behavioral traits such as permissions, rate limits, or potential side effects. For a simple list operation, this is minimally adequate.

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 extremely concise with two sentences. It is front-loaded with the operation type [READ] and key purpose. Every sentence adds value without 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?

Given the tool is a simple list operation with two optional parameters and no output schema, the description provides sufficient context. It covers the returned fields and parameter usage. Minor gap: it does not specify the output format or that the list includes all namespaces by default, but these are common conventions.

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 description coverage is 0%, so the description must add meaning. It explains that 'namespace' can be omitted for all namespaces and 'target' is the k8s target name from config. This adds some context but does not provide detailed semantics like default values or formatting.

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 explicitly states it lists statefulsets and mentions the returned fields (name, namespace, desired/ready/current, age). The [READ] prefix clarifies it's a read operation. This clearly distinguishes it from siblings like statefulset_get and scale_statefulset.

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 by showing parameter options (omit namespace for all namespaces) but does not provide explicit guidance on when to use this tool versus other listing tools like pod_list or deployment_list. No exclusions or alternatives are mentioned.

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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