create_offer_rule
Create an upsell/cross-sell offer rule as draft. Specify trigger type, conditions, and suggested products with optional discounts.
This record as markdown: /tools/io-favcrm-favcrm/create-offer-rule.md
What create_offer_rule does on FavCRM
AI agents use create_offer_rule 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 | Rule name |
type | string | Yes | Rule type: upsell, cross_sell, bundle, or post_purchase |
products | array | — | Products to suggest with optional discounts |
description | string | — | Rule description |
triggerType | string | Yes | When the offer triggers |
triggerConfig | object | — | Trigger-specific configuration |
Parameters from the server's own tool schema.
Why create_offer_rule is rated Medium
This tool creates and modifies marketing/sales rules (offer rules) in a reversible manner. It establishes new upsell/cross-sell configurations that can be edited or deleted later. While it could influence customer interactions and financial outcomes through suggested discounts, the tool itself is creating rule definitions rather than executing transactions, applying discounts automatically, or deleting data.
From the tool's definition Tool description states 'Create an upsell/cross-sell offer rule as draft' with specification of trigger type, conditions, and suggested products. The verb 'Create' and the context of creating a new offer rule in a CRM system indicates data creation.
Attacks that exploit this kind of access
The rule that runs create_offer_rule 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_offer_rule, this is the rule to start with:
create_offer_rule 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_offer_rule call is checked against it from then on.
Questions about create_offer_rule
Create an upsell/cross-sell offer rule as draft. Specify trigger type, conditions, and suggested products with optional discounts. 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_offer_rule accepts 6 parameters: name, type, products, description, triggerType, triggerConfig. Required: name, type, triggerType. 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_offer_rule: 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_offer_rule 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_offer_rule 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_offer_rule. 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_offer_rule 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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