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mjrestivo16
by mjrestivo16

k8s_top_nodes

Monitor Kubernetes cluster node resource consumption by displaying CPU and memory usage metrics to identify performance bottlenecks.

Instructions

Show resource usage (CPU/memory) for nodes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool shows resource usage, implying a read-only operation, but doesn't disclose behavioral traits like whether it requires specific permissions, how data is formatted, if it's real-time or cached, or any rate limits. This is inadequate for a tool with zero annotation coverage.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and every part earns its place, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (simple read operation), no annotations, no output schema, and 0 parameters, the description is minimally adequate. It specifies what resource usage is shown (CPU/memory) and for what (nodes), but lacks details on output format, permissions, or behavioral context, leaving gaps for the agent.

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?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is appropriate given the lack of parameters, meeting the baseline for this scenario.

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 clearly states the tool's purpose with specific verbs ('Show resource usage') and resources ('nodes'), specifying the types of resources (CPU/memory). It distinguishes from siblings like 'k8s_describe_node' (detailed node info) and 'k8s_list_nodes' (list nodes), but doesn't explicitly mention these alternatives in the description itself.

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?

The description provides no guidance on when to use this tool versus alternatives like 'k8s_describe_node' or 'k8s_list_nodes'. It doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage based on the purpose alone.

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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