AI agents use schedule_campaign to create or update resources in Listmonk MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Listmonk MCP Server environment.
Scheduling a campaign sets a future delivery time for a mass email campaign. This is a write operation (creates/modifies a scheduled state) that is reversible (can be rescheduled or cancelled). However, severity is high because misuse could trigger mass unsolicited email sends to potentially large mailing lists.
From the tool's definition Schedule a campaign for future delivery
Documented attack patterns abuse exactly the kind of access schedule_campaign gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Listmonk MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for schedule_campaign:
{
"version": "1",
"default": "deny",
"tools": {
"schedule_campaign": {
"limits": [
{
"counter": "schedule_campaign_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} schedule_campaign 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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Schedule a campaign for future delivery. It is categorised as a Write tool in the Listmonk MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Listmonk MCP Server MCP server in PolicyLayer and add a rule for schedule_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 Listmonk MCP Server. Nothing to install.
schedule_campaign 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 schedule_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.
Set action: deny in the PolicyLayer policy for schedule_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.
schedule_campaign is provided by the Listmonk MCP Server MCP server (rhnvrm/listmonk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 Listmonk MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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29 Listmonk MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.