Low Risk

analyze_inference_usage

analyze_inference_usage

How to control analyze_inference_usage ↓

What analyze_inference_usage does on Vultr MCP

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

Low Risk

Why analyze_inference_usage needs a policy

Analysis tools typically examine existing data without altering it. The sibling tools like 'analyze_cdn_performance', 'analyze_costs', 'analyze_database_migration_status', and 'analyze_domain' are all read operations that inspect and report on system state.

From the tool's definition Tool name 'analyze_inference_usage' contains 'analyze' which is a read-only operation that queries and inspects data without modification. The tool operates on inference usage metrics, suggesting it retrieves historical or current usage statistics.

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

How to control analyze_inference_usage

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_inference_usage": {}
  }
}

analyze_inference_usage is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Vultr MCP — 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_inference_usage

What does the analyze_inference_usage tool do? +

analyze_inference_usage. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_inference_usage? +

Register the Vultr MCP server in PolicyLayer and add a rule for analyze_inference_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 Vultr MCP. Nothing to install.

What risk level is analyze_inference_usage? +

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

Can I rate-limit analyze_inference_usage? +

Yes. Add a rate_limit block to the analyze_inference_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_inference_usage completely? +

Set action: deny in the PolicyLayer policy for analyze_inference_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_inference_usage? +

analyze_inference_usage is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vultr MCP tool call.

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

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

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