list_change_queue

List queued changes awaiting review or previously processed. Useful for site owners to see what an AI agent has proposed before any changes are made live.

SERVERElementify MCP SOURCEvamerli/elementify-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/vamerli-elementify-mcp/list-change-queue.md

WHAT IT DOES

What list_change_queue does on Elementify MCP

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

RISK

Why list_change_queue is rated Low

Even though list_change_queue only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_change_queue 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 list_change_queue, this is the rule to start with:

list_change_queue Allowed

list_change_queue is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_change_queue": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about list_change_queue

What does the list_change_queue tool do? +

List queued changes awaiting review or previously processed. Useful for site owners to see what an AI agent has proposed before any changes are made live. It is categorised as a Read tool in the Elementify MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_change_queue? +

Register the Elementify MCP server in PolicyLayer and add a rule for list_change_queue: 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 list_change_queue? +

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

Can I rate-limit list_change_queue? +

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

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

list_change_queue 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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