kubernetes_scale_deployment

A execute tool on the MCP Framework Personal MCP server.

SERVERMCP Framework Personal SOURCEinggerman/mcps

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/inggerman-mcps/kubernetes-scale-deployment.md

WHAT IT DOES

What kubernetes_scale_deployment does on MCP Framework Personal

AI agents invoke kubernetes_scale_deployment to trigger actions in MCP Framework Personal. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why kubernetes_scale_deployment is rated High

kubernetes_scale_deployment triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs kubernetes_scale_deployment safely

PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kubernetes_scale_deployment, this is the rule to start with:

kubernetes_scale_deployment Rate-limited

kubernetes_scale_deployment stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "kubernetes_scale_deployment": {
      "limits": [
        {
          "counter": "kubernetes_scale_deployment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every kubernetes_scale_deployment call is checked against it from then on.

FAQ

Questions about kubernetes_scale_deployment

What does the kubernetes_scale_deployment tool do? +

kubernetes_scale_deployment is a execute tool on the MCP Framework Personal MCP server. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on kubernetes_scale_deployment? +

Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for kubernetes_scale_deployment: 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 MCP Framework Personal. Nothing to install.

What risk level is kubernetes_scale_deployment? +

kubernetes_scale_deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit kubernetes_scale_deployment? +

Yes. Add a rate_limit block to the kubernetes_scale_deployment 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 kubernetes_scale_deployment completely? +

Set action: deny in the PolicyLayer policy for kubernetes_scale_deployment. 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 kubernetes_scale_deployment? +

kubernetes_scale_deployment is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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