This record as markdown: /tools/aiwerk-mcp-server-ghl/products-list-invoices.md
What products_list_invoices does on Ghl
AI agents call products_list_invoices to retrieve information from Ghl without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | The maximum number of items to be included in a single page of results |
expand | array | — | Name of an entity whose data has to be fetched along with product. Possible entities are tax, stripe and paypal. If not mentioned, only ID will be returned in c |
offset | number | — | The starting index of the page, indicating the position from which the results should be retrieved. |
search | string | — | The name of the product for searching. |
storeId | string | — | fetch and project products based on the storeId |
sortOrder | string | — | The order of sort which should be applied for the date |
locationId | string | — | LocationId is the id of the sub-account Defaults to GHL_LOCATION_ID when omitted. |
productIds | array | — | List of product ids to be fetched. |
collectionIds | string | — | Filter by product category Ids. Supports comma separated values |
collectionSlug | string | — | The slug value of the collection by which the collection would be searched |
includedInStore | boolean | — | Separate products by which are included in the store and which are not |
availableInStore | boolean | — | If the product is included in the online store |
Parameters from the server's own tool schema.
Why products_list_invoices is rated Low
Even though products_list_invoices only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs products_list_invoices 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_list_invoices, this is the rule to start with:
products_list_invoices is read-only, so it stays allowed. 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 products_list_invoices call is checked against it from then on.
Questions about products_list_invoices
List Products. It is categorised as a Read tool in the Ghl MCP Server, which means it retrieves data without modifying state.
products_list_invoices accepts 12 parameters: limit, expand, offset, search, storeId, sortOrder, locationId, productIds, collectionIds, collectionSlug, includedInStore, availableInStore. 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_list_invoices: 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_list_invoices is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the products_list_invoices 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_list_invoices. 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_list_invoices 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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