update_serverless_inference

Update an existing serverless inference subscription.

SERVERVultr MCP SOURCErsp2k/mcp-vultr

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/rsp2k-mcp-vultr/update-serverless-inference.md

WHAT IT DOES

What update_serverless_inference does on Vultr MCP

AI agents use update_serverless_inference to create or update resources in Vultr MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vultr MCP environment.

RISK

Why update_serverless_inference is rated Medium

This tool modifies an existing serverless inference subscription configuration. While updates are reversible (distinguishing from Destructive), they can have significant operational impact on running inference workloads—affecting performance, costs, or availability. The high severity reflects that misconfigured updates could disrupt ML inference services.

From the tool's definition Tool name contains 'update' and description states 'Update an existing serverless inference subscription.' The verb 'update' indicates modification of existing data rather than deletion or financial transaction.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_serverless_inference safely

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

update_serverless_inference Rate-limited

update_serverless_inference stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_serverless_inference": {
      "limits": [
        {
          "counter": "update_serverless_inference_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about update_serverless_inference

What does the update_serverless_inference tool do? +

Update an existing serverless inference subscription. It is categorised as a Write tool in the Vultr MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_serverless_inference? +

Register the Vultr MCP server in PolicyLayer and add a rule for update_serverless_inference: 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 update_serverless_inference? +

update_serverless_inference is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_serverless_inference? +

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

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

update_serverless_inference 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.

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