Skip to main content
Glama
razvanmacovei

Multi Cluster Kubernetes MCP Server

k8s_update_resources

Update CPU and memory requests and limits for containers in Kubernetes deployments, statefulsets, or daemonsets.

Instructions

Update CPU/memory requests and limits for a specific container in a deployment, statefulset, or daemonset. Values use Kubernetes notation (e.g., '128Mi', '500m', '1Gi', '2').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
contextYes
containerYes
cpu_limitNo
namespaceYes
cpu_requestNo
memory_limitNo
resource_typeYes
memory_requestNo
Behavior3/5

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

With no annotations, the description provides some transparency by specifying the value notation (Kubernetes notation) and giving examples. However, it does not disclose side effects, permissions required, whether it performs a replace or patch, or what happens when optional parameters are omitted.

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 very concise with two sentences, no extraneous words, and front-loads the action. It efficiently conveys the core purpose.

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's complexity (9 parameters, 5 required, no output schema, no annotations), the description is insufficient. It does not explain return values, how to handle optional parameters, or error scenarios, leaving many gaps for an AI agent.

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 0%, so the description must compensate. It adds meaning by explaining that CPU/memory requests and limits are updated and the expected value format. However, it does not describe each parameter individually, such as context, namespace, resource_type, name, container, leaving their roles implicit.

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 verb (Update), the resource (CPU/memory requests and limits for a container), and the target resource types (deployment, statefulset, daemonset). It is specific and informative, but does not explicitly distinguish from the sibling tool k8s_set_resources_for_container, which likely has similar functionality.

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, nor are there any conditions or prerequisites mentioned. The description only states what the tool does without contextual usage advice.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/razvanmacovei/k8s-multicluster-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server