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get_resource_recommendations

Heuristically recommends optimal CPU and memory requests and limits for Kubernetes deployments based on current metrics.

Instructions

Suggests optimal resource requests/limits based on current metrics heuristically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clusterNoTarget cluster name (default: 'default')
namespaceYesThe Kubernetes namespace
deploymentNameYesThe name of the Deployment
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It does not explicitly state that the tool is read-only, nor does it mention permissions, side effects, or limitations. 'Suggests' implies non-destructive, but this is not confirmed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence of 9 words. It is concise, though it could benefit from slightly more context about the output format.

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

Completeness2/5

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

No output schema is provided, so the description should explain the format of recommendations (e.g., CPU/memory, requests/limits). It only states 'optimal resource requests/limits' without details. Compared to siblings like 'get_vpa_recommendation', it is incomplete.

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 100%; all parameters (cluster, namespace, deploymentName) have descriptions in the schema. The tool description adds no extra meaning beyond the schema, meeting the baseline for high coverage.

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 clearly states the verb 'suggests' and the resource 'optimal resource requests/limits' with a method 'based on current metrics heuristically'. It distinguishes from sibling tools like 'get_vpa_recommendation' which uses VPA rather than heuristics.

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?

No guidance is provided on when to use this tool versus alternatives such as 'get_vpa_recommendation' or 'set_resource_limits'. The description lacks context-specific usage advice.

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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