get_campaign_metrics

THE RISK

Low Risk

Why get_campaign_metrics needs a policy

This tool retrieves and queries campaign performance data without creating, modifying, deleting, or executing any actions. It is a pure read operation that has no side effects on the Iterable platform or data state.

From the tool's definition Tool name 'get_campaign_metrics' and description 'Get campaign performance metrics' indicate data retrieval only. The instruction to 'use the narrowest window possible for performance' confirms a query-only operation with no side effects.

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

POLICY

How to control get_campaign_metrics

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_campaign_metrics:

policy.json

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

get_campaign_metrics 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

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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_campaign_metrics

What does the get_campaign_metrics tool do? +

Get campaign performance metrics. Requires a date range. Always use the narrowest window possible for performance. 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_campaign_metrics? +

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

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

Can I rate-limit get_campaign_metrics? +

Yes. Add a rate_limit block to the get_campaign_metrics 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_campaign_metrics completely? +

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

get_campaign_metrics 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 →