Use to schedule a follow-up message for a contact. The follow-up will be automatically sent at the scheduled time. Write operation — requires Pro tier or higher.
AI agents use create_followup to create or update resources in Rentalot MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rentalot MCP Server environment.
This tool creates a new scheduling record (a follow-up message) that modifies system state reversibly. It does not execute arbitrary code, delete data, move money, or read without side effects. The 'medium' severity reflects that a misused tool could spam contacts with unwanted automated messages, but the impact is limited to message scheduling rather than direct financial, destructive, or operational consequences.
From the tool's definition Tool description explicitly states 'Write operation' and 'schedule a follow-up message for a contact. The follow-up will be automatically sent at the scheduled time.' This creates a new scheduled message object.
Attacks that exploit this kind of access
Use to schedule a follow-up message for a contact. The follow-up will be automatically sent at the scheduled time. Write operation — requires Pro tier or higher. It is categorised as a Write tool in the Rentalot MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rentalot MCP Server MCP server in PolicyLayer and add a rule for create_followup: 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 Rentalot MCP Server. Nothing to install.
create_followup 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 create_followup 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 create_followup. 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.
create_followup is provided by the Rentalot MCP Server MCP server (rentalot-ai/rentalot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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