top-nodes
Monitor Kubernetes node resource usage to identify performance bottlenecks and optimize cluster capacity allocation.
Instructions
Show resource usage for nodes
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Monitor Kubernetes node resource usage to identify performance bottlenecks and optimize cluster capacity allocation.
Show resource usage for nodes
| 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 carries the full burden of behavioral disclosure. It states 'show resource usage' but doesn't specify what resources (e.g., CPU, memory), the output format, whether it's real-time or historical, or any limitations like permissions or rate limits. This leaves significant gaps for an agent to understand how the tool behaves.
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 a single, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.
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 complexity of monitoring resource usage in a Kubernetes environment, the description is incomplete. With no annotations, no output schema, and a vague purpose, it lacks details on what 'resource usage' entails, the output format, or behavioral traits. This makes it inadequate for an agent to use the tool effectively without additional context.
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 with 100% coverage, meaning there are no parameters to document. The description doesn't need to add parameter semantics, so it meets the baseline of 4 for tools with no parameters, as it doesn't have to compensate for any gaps.
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 clearly states the action ('show') and resource ('resource usage for nodes'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get-node-metrics' or 'describe-node', which might have overlapping functionality in a Kubernetes context, so it doesn't achieve full sibling differentiation.
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 provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'get-node-metrics', 'describe-node', and 'list-nodes' that might relate to node monitoring or information, there's no indication of context or prerequisites for choosing this tool.
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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