analyze-resource-usage

Analyze resource usage across the cluster

Server Kubernetes MCP Server thekaranpargaie/kube-mcp
Category Read
Risk class Low
Parameters 00 required

What analyze-resource-usage does on Kubernetes MCP Server

AI agents call analyze-resource-usage to retrieve information from Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why analyze-resource-usage needs a policy

This tool retrieves and examines cluster metrics and resource consumption data. It has no side effects—it does not create, modify, delete, or execute operations. The blast radius of misuse is minimal; an AI agent analyzing resource usage cannot cause infrastructure damage or data loss. This is a pure information-gathering operation, consistent with Read category classification.

From the tool's definition Tool performs analysis and inspection of resource usage metrics across the cluster without modifying, executing on, or deleting any resources.

Questions about analyze-resource-usage

What does the analyze-resource-usage tool do? +

Analyze resource usage across the cluster. It is categorised as a Read tool in the Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze-resource-usage? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for analyze-resource-usage: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Kubernetes MCP Server. Nothing to install.

What risk level is analyze-resource-usage? +

analyze-resource-usage is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyze-resource-usage? +

Yes. Add a rate_limit block to the analyze-resource-usage rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block analyze-resource-usage completely? +

Set action: deny in the PolicyLayer policy for analyze-resource-usage. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides analyze-resource-usage? +

analyze-resource-usage is provided by the Kubernetes MCP Server MCP server (thekaranpargaie/kube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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