create_service_package
Create a service package/prepaid session bundle. Use applicableType=SELECTED with applicableItems to limit the package to specific booking services or events.
This record as markdown: /tools/io-favcrm-favcrm/create-service-package.md
What create_service_package does on FavCRM
AI agents use create_service_package 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 |
|---|---|---|---|
name | string | Yes | Package name |
price | number | Yes | Package price |
status | string | — | Default ACTIVE |
validDays | integer | Yes | Validity window after purchase, in days |
description | string | — | Description |
sessionCount | integer | Yes | Number of included sessions |
applicableType | string | — | Default ALL |
applicableItems | array | — | Items used when applicableType=SELECTED |
Parameters from the server's own tool schema.
Why create_service_package is rated Medium
This tool creates new service packages/bundles, which is a reversible write operation. It modifies the CRM's service catalog and business configuration but does not execute arbitrary code, delete data irreversibly, or move money directly.
From the tool's definition Tool description states 'Create a service package' — the verb 'Create' indicates data creation. The tool adds a new prepaid service bundle to the CRM system, modifying business offerings and pricing structures.
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs create_service_package 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_service_package, this is the rule to start with:
create_service_package 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 FavCRM, apply this rule, and every create_service_package call is checked against it from then on.
Questions about create_service_package
Create a service package/prepaid session bundle. Use applicableType=SELECTED with applicableItems to limit the package to specific booking services or events. 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.
create_service_package accepts 8 parameters: name, price, status, validDays, description, sessionCount, applicableType, applicableItems. Required: name, price, validDays, sessionCount. The full parameter table on this page comes from the server's own tool schema.
Register the FavCRM MCP server in PolicyLayer and add a rule for create_service_package: 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.
create_service_package 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_service_package 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_service_package. 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_service_package 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.
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