AI agents call get_list_users to retrieve information from Iterable MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries user data from a specific list within the Iterable marketing platform. The verb 'get' and the absence of any modification language clearly indicate a read-only operation. There is no indication of creating, modifying, deleting, or executing actions on the data—only fetching it.
From the tool's definition Tool name 'get_list_users' and description 'Get users in a specific list' indicate data retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_list_users gives an agent:
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_users:
{
"version": "1",
"default": "deny",
"tools": {
"get_list_users": {}
}
}get_list_users is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get users in a specific list. It is categorised as a Read tool in the Iterable MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for get_list_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.
get_list_users 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_list_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.
Set action: deny in the PolicyLayer policy for get_list_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.
get_list_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.
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.
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78 Iterable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.