get_list_preview_users

THE RISK

Low Risk

Why get_list_preview_users needs a policy

This tool retrieves and displays a preview of user data from a list without creating, modifying, deleting, or executing any actions. It is a read-only operation that queries existing data, making it a Read category risk with low severity due to limited blast radius (preview only, no state changes possible).

From the tool's definition Tool name 'get_list_preview_users' and description 'Preview users in a list (up to 5000 users)' indicate a retrieval operation with no modification or side effects.

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

POLICY

How to control get_list_preview_users

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

policy.json

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

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

Create a free account and register Iterable MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Iterable MCP Server tools

Destructive bulk_delete_catalog_items Bulk delete catalog items by their IDs Destructive cancel_campaign Cancel a scheduled or recurring campaign Destructive cancel_export_job Cancel a queued or running export job created with Destructive delete_catalog Delete a catalog Destructive delete_catalog_item Delete a specific catalog item by ID Destructive delete_list Delete a user list Destructive delete_snippet Delete a snippet by ID (numeric) or name (string) Destructive delete_templates Delete one or more templates by ID

All 78 Iterable MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_list_preview_users

What does the get_list_preview_users tool do? +

Preview users in a list (up to 5000 users). It is categorised as a Read tool in the Iterable MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_list_preview_users? +

Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for get_list_preview_users: 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 Iterable MCP Server. Nothing to install.

What risk level is get_list_preview_users? +

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

Can I rate-limit get_list_preview_users? +

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

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

get_list_preview_users is provided by the Iterable MCP Server MCP server (iterable/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Iterable MCP Server tool call.

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

CHECK YOUR STACK →