Low Risk

get_campaign

Get detailed information about a specific campaign

How to control get_campaign ↓

What get_campaign does on Iterable MCP Server

AI agents call get_campaign 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_campaign needs a policy

This tool retrieves campaign data without creating, modifying, deleting, or executing any operations. It has no side effects beyond returning information. While it's exposed through an MCP server that handles marketing automation (which could be sensitive), the tool itself is a safe read operation with minimal blast radius if misused by an AI agent—it can only expose existing campaign details that the authenticated…

From the tool's definition Tool name 'get_campaign' and description 'Get detailed information about a specific campaign' indicate data retrieval with no modifications. The verb 'Get' and phrase 'detailed information' are characteristic of read-only query operations.

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

How to control get_campaign

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:

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

get_campaign 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_campaign

What does the get_campaign tool do? +

Get detailed information about a specific campaign. 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? +

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

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

Can I rate-limit get_campaign? +

Yes. Add a rate_limit block to the get_campaign 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 completely? +

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

get_campaign 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.

Free to start. No card required.

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

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