get_inference_usage
AI agents call get_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.
This tool retrieves usage metrics or statistics related to inference services. It performs no modifications, deletions, or external actions—it merely queries and returns data. Even though the description is absent, the 'get_' prefix and 'usage' noun strongly indicate a read-only retrieval operation with low severity.
From the tool's definition Tool name 'get_inference_usage' indicates retrieval of usage data. The description is empty, but the naming pattern 'get_' is consistent with sibling tools like 'get_instance_details', 'get_domain_info', etc., which are Read operations.
Documented attack patterns abuse exactly the kind of access get_inference_usage gives an agent:
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 get_inference_usage:
{
"version": "1",
"default": "deny",
"tools": {
"get_inference_usage": {}
}
}get_inference_usage is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_inference_usage. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.
Register the Vultr MCP server in PolicyLayer and add a rule for get_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.
get_inference_usage is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_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.
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.