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analyze_cluster

Trigger a fresh cost analysis for a cluster. This runs in the

How to control analyze_cluster ↓

What analyze_cluster does on Kubopt

AI agents invoke analyze_cluster to trigger actions in Kubopt. 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.

High Risk

Why analyze_cluster needs a policy

The tool explicitly 'triggers' an operation that runs on the cluster, making it an Execute action rather than a passive Read. It initiates a new analysis process rather than simply retrieving existing data. The description appears truncated, which slightly lowers confidence, but the word 'trigger' and 'runs' clearly indicate an active execution with side effects (e.g., compute resources consumed, data written).

From the tool's definition "Trigger a fresh cost analysis for a cluster. This runs in the"

Documented attack patterns abuse exactly the kind of access analyze_cluster gives an agent:

How to control analyze_cluster

PolicyLayer is an MCP gateway — it sits between your AI agents and Kubopt, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_cluster:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_cluster": {
      "limits": [
        {
          "counter": "analyze_cluster_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

analyze_cluster 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.

  1. Create a free account and register Kubopt — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyze_cluster

What does the analyze_cluster tool do? +

Trigger a fresh cost analysis for a cluster. This runs in the. It is categorised as a Execute tool in the Kubopt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_cluster? +

Register the Kubopt MCP server in PolicyLayer and add a rule for analyze_cluster: 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 Kubopt. Nothing to install.

What risk level is analyze_cluster? +

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

Can I rate-limit analyze_cluster? +

Yes. Add a rate_limit block to the analyze_cluster 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_cluster completely? +

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

analyze_cluster is provided by the Kubopt MCP server (kubeopt/kubeopt). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kubopt tool call.

Start from Kubopt, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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6 Kubopt tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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