Low Risk

get_experiment_variants

Get variant content for an experiment, including subject lines, preheaders, HTML source, and plain text

How to control get_experiment_variants ↓

What get_experiment_variants does on Iterable MCP Server

AI agents call get_experiment_variants 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.

Low Risk

Why get_experiment_variants needs a policy

This tool retrieves and queries experiment variant data from the Iterable marketing platform. It has no side effects, does not modify data, does not execute operations, and does not delete or commit financial actions. It is a straightforward data retrieval operation, fitting the 'Read' category.

From the tool's definition Tool name 'get_experiment_variants' and description 'Get variant content' indicates retrieval of experiment data without modification. Returns read-only information: subject lines, preheaders, HTML source, and plain text.

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

How to control get_experiment_variants

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_experiment_variants:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_experiment_variants": {}
  }
}

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

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

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Questions about get_experiment_variants

What does the get_experiment_variants tool do? +

Get variant content for an experiment, including subject lines, preheaders, HTML source, and plain text. 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_experiment_variants? +

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

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

Can I rate-limit get_experiment_variants? +

Yes. Add a rate_limit block to the get_experiment_variants 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_experiment_variants completely? +

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

get_experiment_variants 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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78 Iterable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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