k8scortex-mcp

set_resource_limits

Set CPU and memory resource requests and limits for a container in a Kubernetes Deployment. Specify values for cpu and memory requests and limits to control resource allocation.

Instructions

Sets CPU and Memory requests and limits for a specific container in a Deployment.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "namespace": "<namespace>",
      "deploymentName": "<deploymentName>",
      "containerName": "<containerName>"
    },
    "name": "set_resource_limits"
  }
}

Input Schema

Name	Required	Description
`dryRun`	No	If true, simulates the action
`cluster`	No	Target cluster name (default: 'default')
`cpuLimit`	No	CPU limit (e.g. '500m' or '1')
`namespace`	Yes	The Kubernetes namespace
`cpuRequest`	No	CPU request (e.g. '100m' or '0.1')
`memoryLimit`	No	Memory limit (e.g. '512Mi')
`containerName`	Yes	The name of the container
`memoryRequest`	No	Memory request (e.g. '256Mi')
`deploymentName`	Yes	The name of the Deployment

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.2Jul 28, 2026

TDQS

B3.1/5.0

Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It states it 'sets' (mutation) but does not explain side effects (e.g., pod restart, rollout trigger), error handling, or permission requirements. The dryRun parameter is defined in schema but not mentioned in description.

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 one clear sentence with no unnecessary words. However, it could be improved with a slightly longer structured format including key details like mutability and dry-run support.

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?

Given the tool has 9 parameters and no output schema, the description should cover return values (e.g., success message) or any side effects. It only covers the basic action, leaving significant gaps for effective use.

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%, so baseline is 3. The description adds no additional meaning beyond the schema; it simply restates the concept of setting resource limits. No extra context on parameter relationships or constraints.

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 uses a specific verb 'Sets' and clearly identifies the resource (CPU and Memory requests and limits) for a specific container in a Deployment, distinguishing it from sibling tools which are mostly read-only or other resource operations.

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 like scale_deployment or get_resource_recommendations. It lacks any indication of prerequisites, best practices, or scenarios to avoid.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server