This record as markdown: /tools/aiwerk-mcp-server-ghl/calendars-create-calendar-resource.md
What calendars_create_calendar_resource does on Ghl
AI agents use calendars_create_calendar_resource 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 |
|---|---|---|---|
name | string | Yes | |
capacity | number | Yes | Capacity of the room. |
quantity | number | Yes | Quantity of the equipment. |
locationId | string | — | Defaults to GHL_LOCATION_ID when omitted. |
calendarIds | array | Yes | Service calendar IDs to be mapped with the resource. One equipment can only be mapped with one service calendar. One room can be mapped with multiple service ca |
description | string | Yes | |
outOfService | number | Yes | Quantity of the out of service equipment. |
resourceType | string | Yes | Calendar Resource Type |
Parameters from the server's own tool schema.
Why calendars_create_calendar_resource is rated Medium
An AI agent can call calendars_create_calendar_resource 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.
Attacks that exploit this kind of access
The rule that runs calendars_create_calendar_resource 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_create_calendar_resource, this is the rule to start with:
calendars_create_calendar_resource 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_create_calendar_resource call is checked against it from then on.
Questions about calendars_create_calendar_resource
Create Calendar Resource. 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_create_calendar_resource accepts 8 parameters: name, capacity, quantity, locationId, calendarIds, description, outOfService, resourceType. Required: name, capacity, quantity, calendarIds, description, outOfService, resourceType. 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_create_calendar_resource: 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_create_calendar_resource 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_create_calendar_resource 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_create_calendar_resource. 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_create_calendar_resource 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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