This record as markdown: /tools/ghl/create-appointment.md
What create_appointment does on Ghl
AI agents use create_appointment to create or update resources in Ghl, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ghl environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
title | string | — | Title/subject of the appointment |
address | string | — | Meeting location or address |
endTime | string | — | End time in ISO format (optional, will be calculated from slot duration if not provided) |
toNotify | boolean | — | Send notifications for this appointment |
contactId | string | Yes | The contact ID for whom to book the appointment |
startTime | string | Yes | Start time in ISO format (e.g., "2024-01-15T10:00:00-05:00") |
calendarId | string | Yes | The calendar ID to book the appointment in |
assignedUserId | string | — | User ID to assign this appointment to |
ignoreDateRange | boolean | — | Ignore minimum scheduling notice and date range restrictions |
appointmentStatus | string | — | Initial status of the appointment |
meetingLocationType | string | — | Type of meeting location |
Parameters from the server's own tool schema.
Why create_appointment is rated Medium
This tool creates a new appointment record in GoHighLevel, which is a reversible write operation. It does not execute arbitrary code, delete data, or move money. The appointment can be modified or canceled later. The medium severity reflects that creating bogus appointments could disrupt scheduling and customer service operations, but the impact is localized and reversible.
From the tool's definition Tool name 'create_appointment' and description 'Create a new appointment/booking in GoHighLevel' indicate the tool creates/adds new data to the system reversibly.
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs create_appointment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ghl, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_appointment, this is the rule to start with:
create_appointment 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every create_appointment call is checked against it from then on.
Questions about create_appointment
Create a new appointment/booking in GoHighLevel. It is categorised as a Write tool in the Ghl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_appointment accepts 11 parameters: title, address, endTime, toNotify, contactId, startTime, calendarId, assignedUserId, ignoreDateRange, appointmentStatus, meetingLocationType. Required: contactId, startTime, calendarId. The full parameter table on this page comes from the server's own tool schema.
Register the Ghl MCP server in PolicyLayer and add a rule for create_appointment: 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 Ghl. Nothing to install.
create_appointment 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_appointment 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_appointment. 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_appointment is provided by the Ghl MCP server (ghl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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