cancel_export_job

THE RISK

Critical Risk

Why cancel_export_job needs a policy

Cancelling an export job stops it permanently; the job cannot be resumed once cancelled, making it an irreversible operation. Severity is medium because it affects an export process rather than core data, but the action cannot be undone. Confidence is slightly reduced because the description is truncated and incomplete.

From the tool's definition 'Cancel a queued or running export job' — cancelling a running job is an irreversible action that terminates the job and cannot be undone

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

POLICY

How to control cancel_export_job

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 cancel_export_job:

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "cancel_export_job"
  ]
}

cancel_export_job disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

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.

RESTRICT THIS TOOL →

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EXPLORE

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All 78 Iterable MCP Server tools →

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Go deeper

Critical-risk tools in Iterable MCP Server → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about cancel_export_job

What does the cancel_export_job tool do? +

Cancel a queued or running export job created with. It is categorised as a Destructive tool in the Iterable MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on cancel_export_job? +

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

cancel_export_job is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit cancel_export_job? +

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

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

cancel_export_job 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 →