This record as markdown: /tools/aiwerk-mcp-server-ghl/products-delete-product-by-id.md
What products_delete_product_by_id does on Ghl
AI agents call products_delete_product_by_id to permanently remove resources in Ghl, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
productId | string | Yes | ID or the slug of the product that needs to be returned |
locationId | string | — | location Id Defaults to GHL_LOCATION_ID when omitted. |
sendWishlistStatus | boolean | — | Parameter which will decide whether to show the wishlisting status of products |
Parameters from the server's own tool schema.
Why products_delete_product_by_id is rated Critical
An AI agent that decides to call products_delete_product_by_id doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Ghl is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs products_delete_product_by_id 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 products_delete_product_by_id, this is the rule to start with:
products_delete_product_by_id is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every products_delete_product_by_id call is checked against it from then on.
Questions about products_delete_product_by_id
Delete Product by ID. It is categorised as a Destructive tool in the Ghl MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
products_delete_product_by_id accepts 3 parameters: productId, locationId, sendWishlistStatus. Required: productId. 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 products_delete_product_by_id: 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.
products_delete_product_by_id is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the products_delete_product_by_id 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 products_delete_product_by_id. 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.
products_delete_product_by_id 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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