k8s__get_resource_usage
Retrieve CPU and memory usage for each pod in a given Kubernetes namespace via metrics-server.
Instructions
CPU/mem usage per pod via metrics-server
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| namespace | No |
Retrieve CPU and memory usage for each pod in a given Kubernetes namespace via metrics-server.
CPU/mem usage per pod via metrics-server
| Name | Required | Description | Default |
|---|---|---|---|
| namespace | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Mentions dependency on metrics-server but fails to disclose behavior if unavailable, response format, or permissions needed.
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?
Extremely short, one clause. Not verbose, but lacks detailed structure. Could benefit from separating purpose from parameter usage.
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?
Tool returns resource usage but no output schema or behavioral details. With no annotations and sparse description, agents lack context for correct usage and interpretation of results.
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?
Schema description coverage is 0%. Description does not explain the 'namespace' parameter beyond its presence, leaving agents without clarity on its effect (e.g., scoping to specific namespace).
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?
States it gets CPU/mem usage per pod via metrics-server. Verb and resource are clear, but could be more specific about what 'usage' entails (e.g., current vs historical).
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?
No guidance on when to use this tool vs siblings like k8s__list_pods or k8s__describe_resource. Implies use for metrics, but no when-not or alternatives provided.
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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