ks_list_addons
List all available add-ons for your Kubernetes cluster to identify which additional capabilities you can enable.
Instructions
List available cluster add-ons
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all available add-ons for your Kubernetes cluster to identify which additional capabilities you can enable.
List available cluster add-ons
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It states 'list,' implying a read-only operation, but it does not mention any details about result format, pagination, or performance implications. The description is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at 4 words, front-loaded with the verb and resource. Every word is necessary and adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple purpose, no parameters, and no output schema, the description is mostly complete. However, it could clarify whether the list is global or cluster-specific, but the short description suffices for a basic list tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters and 100% coverage. The description adds no parameter information because there are none, which is acceptable. The baseline of 4 applies due to full schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List available cluster add-ons' uses a specific verb ('list') and a clear resource ('cluster add-ons'). It distinguishes itself from sibling tools like ks_enable_addon and ks_disable_addon, which perform mutations on add-ons.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool versus alternatives. It is implied that this tool is for discovery before enabling or disabling add-ons, but no guidance is given on 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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