This record as markdown: /tools/ghl/update-appointment-note.md
What update_appointment_note does on Ghl
AI agents use 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 | Updated note content |
noteId | string | Yes | Note ID |
userId | string | — | User ID updating the note |
appointmentId | string | Yes | Appointment ID |
Parameters from the server's own tool schema.
Why update_appointment_note is rated Medium
This tool modifies data (an appointment note) in a reversible manner. It does not delete, execute code, move money, or trigger external operations with unpredictable side effects. The primary risk is unintended modification of business records, which could affect scheduling, communication, or business processes, warranting a medium severity. Confidence is high because the intent is unambiguous.
From the tool's definition Tool name and description explicitly state 'Update an appointment note' — a modification operation on existing data.
Risk signalsAccepts raw HTML/template content (body)
Attacks that exploit this kind of access
The rule that runs 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 update_appointment_note, this is the rule to start with:
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 update_appointment_note call is checked against it from then on.
Questions about update_appointment_note
Update an appointment 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.
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 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.
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 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 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.
update_appointment_note 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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