create_booking

Create a new booking for a member. Use get_available_slots first to find valid times, then create the booking with the service, member, date, and time.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp

Medium RISK CLASS

Category Write

Parameters 85 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/create-booking.md

WHAT IT DOES

What create_booking does on FavCRM

AI agents use create_booking to create or update resources in FavCRM, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FavCRM environment.

Parameter	Type	Required	Description
`notes`	string	—	Booking notes
`endTime`	string	Yes	End time in HH:MM format
`staffId`	string	—	Staff member ID
`accountId`	string	Yes	The member/account ID
`serviceId`	string	Yes	The service ID
`startTime`	string	Yes	Start time in HH:MM format
`resourceId`	string	—	Resource ID
`bookingDate`	string	Yes	Date in YYYY-MM-DD format

Parameters from the server's own tool schema.

RISK

Why create_booking is rated Medium

This tool creates new business records (bookings) within a CRM system, which is a Write operation — it modifies data state reversibly. An AI agent misusing this could spam bookings, create fraudulent reservations, or disrupt service scheduling (medium severity). The tool requires valid service, member, date, and time parameters, limiting but not eliminating misuse risk.

From the tool's definition Tool name is 'create_booking' and description states it will 'Create a new booking' — a reversible data creation operation. The tool modifies system state by adding a new booking record but does not delete, execute arbitrary code, or move money.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_booking safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_booking, this is the rule to start with:

create_booking Rate-limited

create_booking 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_booking": {
      "limits": [
        {
          "counter": "create_booking_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FavCRM, apply this rule, and every create_booking call is checked against it from then on.

FAQ

Questions about create_booking

What does the create_booking tool do? +

Create a new booking for a member. Use get_available_slots first to find valid times, then create the booking with the service, member, date, and time. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_booking accept? +

create_booking accepts 8 parameters: notes, endTime, staffId, accountId, serviceId, startTime, resourceId, bookingDate. Required: endTime, accountId, serviceId, startTime, bookingDate. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_booking? +

Register the FavCRM MCP server in PolicyLayer and add a rule for create_booking: 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 FavCRM. Nothing to install.

What risk level is create_booking? +

create_booking is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_booking? +

Yes. Add a rate_limit block to the create_booking 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.

How do I block create_booking completely? +

Set action: deny in the PolicyLayer policy for create_booking. 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.

What MCP server provides create_booking? +

create_booking is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on FavCRM, and thousands of servers like it.

This server

All 220 FavCRM tools →

Across the catalogue

create_task on 0rca Dojo MCP Server →create-task on Kanban MCP Server →create_package_backup on Android Forensics ADB MCP Server →create_project on Stitch MCP Server → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →