get_user_fields

THE RISK

Low Risk

Why get_user_fields needs a policy

This tool retrieves metadata about user profile field definitions without creating, modifying, deleting, or executing any operations. It is a read-only query that returns field information for informational purposes. The blast radius of misuse is minimal—an AI agent could only exfiltrate knowledge of available fields, not actual user data or perform harmful actions.

From the tool's definition Tool name 'get_user_fields' and description 'Get all user profile field definitions and their types' indicate a retrieval operation with no modification or side effects. This is a simple schema/metadata query operation.

Risk signalsBulk/mass operation — affects multiple targets

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

POLICY

How to control get_user_fields

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_user_fields:

policy.json

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

get_user_fields 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.

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EXPLORE

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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_user_fields

What does the get_user_fields tool do? +

Get all user profile field definitions and their types. 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_user_fields? +

Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for get_user_fields: 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_user_fields? +

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

Can I rate-limit get_user_fields? +

Yes. Add a rate_limit block to the get_user_fields 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_user_fields completely? +

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

get_user_fields 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.

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