queue_change

SERVERElementify MCP SOURCEvamerli/elementify-mcp

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/vamerli-elementify-mcp/queue-change.md

WHAT IT DOES

What queue_change does on Elementify MCP

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

RISK

Why queue_change is rated Medium

This tool queues write operations for human review before application, making it a Write category tool. While the actual modifications are deferred and subject to review (mitigating factor), the tool's purpose is to stage and queue write operations.

From the tool's definition Tool description explicitly states 'Queue a write operation' and mentions it queues 'write operations' before they are applied. The tool is designed as a wrapper around write operations (create, update, organize templates per server description).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs queue_change safely

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

queue_change Rate-limited

queue_change 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": {
    "queue_change": {
      "limits": [
        {
          "counter": "queue_change_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 Elementify MCP, apply this rule, and every queue_change call is checked against it from then on.

FAQ

Questions about queue_change

What does the queue_change tool do? +

Queue a write operation for human review before it is applied. Use this instead of calling write tools directly when changes should go through a review workflow. Supported operations: ${SUPPORTED_OPERATIONS}. It is categorised as a Write tool in the Elementify 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 queue_change? +

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

What risk level is queue_change? +

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

Can I rate-limit queue_change? +

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

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

queue_change is provided by the Elementify MCP server (vamerli/elementify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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