This record as markdown: /tools/aiwerk-mcp-server-ghl/calendars-update-appointment-note.md
What calendars_update_appointment_note does on Ghl
AI agents use calendars_update_appointment_note 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 |
|---|---|---|---|
body | string | Yes | Note body |
noteId | string | Yes | Path parameter noteId. |
userId | string | — | |
appointmentId | string | Yes | Appointment ID |
Parameters from the server's own tool schema.
Why calendars_update_appointment_note is rated Medium
An AI agent can call calendars_update_appointment_note faster than any human can review: one bad instruction and it creates or modifies resources in Ghl by the hundred, each call as confident as the last.
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Attacks that exploit this kind of access
The rule that runs calendars_update_appointment_note 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 calendars_update_appointment_note, this is the rule to start with:
calendars_update_appointment_note 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 calendars_update_appointment_note call is checked against it from then on.
Questions about calendars_update_appointment_note
Update Note. 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.
calendars_update_appointment_note accepts 4 parameters: body, noteId, userId, appointmentId. Required: body, noteId, appointmentId. 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 calendars_update_appointment_note: 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.
calendars_update_appointment_note 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 calendars_update_appointment_note 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 calendars_update_appointment_note. 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.
calendars_update_appointment_note is provided by the Ghl MCP server (@aiwerk/mcp-server-ghl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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