AI agents use update_email to create or update resources in Iterable MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Iterable MCP Server environment.
This tool creates or modifies user data reversibly within the Iterable marketing platform. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely retrieve data (Read). The severity is medium because unauthorized user updates in a marketing platform could cause operational disruption and affect customer communications, but the impact is typically recoverable.
From the tool's definition Tool name 'update_email' and description 'Update a user' indicate modification of user data. The sibling tools include write operations like 'bulk_update_subscriptions' and 'bulk_update_users', confirming this server performs data mutations.
Documented attack patterns abuse exactly the kind of access update_email 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 update_email:
{
"version": "1",
"default": "deny",
"tools": {
"update_email": {
"limits": [
{
"counter": "update_email_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_email 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.
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Update a user. It is categorised as a Write tool in the Iterable MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for update_email: 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.
update_email is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_email 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 update_email. 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.
update_email 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.
Free to start. No card required.
78 Iterable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.