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products_get_product_reviews

Fetch Product Reviews

SERVERGhl SOURCE@aiwerk/mcp-server-ghl
Low RISK CLASS
Category Read
Parameters 110 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-ghl/products-get-product-reviews.md

What products_get_product_reviews does on Ghl

AI agents call products_get_product_reviews 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.

ParameterTypeRequiredDescription
altId string Location Id or Agency Id Defaults to GHL_LOCATION_ID when omitted.
limit number The maximum number of items to be included in a single page of results
offset number The starting index of the page, indicating the position from which the results should be retrieved.
rating number Key to filter the ratings
altType string Defaults to GHL_LOCATION_ID when omitted.
endDate string The end date for filtering reviews
storeId string Comma-separated list of store IDs
productId string Comma-separated list of product IDs
sortField string The field upon which the sort should be applied
sortOrder string The order of sort which should be applied for the sortField
startDate string The start date for filtering reviews

Parameters from the server's own tool schema.

Why products_get_product_reviews is rated Low

Even though products_get_product_reviews 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 (11 properties)

Questions about products_get_product_reviews

What does the products_get_product_reviews tool do? +

Fetch Product Reviews. It is categorised as a Read tool in the Ghl MCP Server, which means it retrieves data without modifying state.

What parameters does products_get_product_reviews accept? +

products_get_product_reviews accepts 11 parameters: altId, limit, offset, rating, altType, endDate, storeId, productId, sortField, sortOrder, startDate. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on products_get_product_reviews? +

Register the Ghl MCP server in PolicyLayer and add a rule for products_get_product_reviews: 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.

What risk level is products_get_product_reviews? +

products_get_product_reviews is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit products_get_product_reviews? +

Yes. Add a rate_limit block to the products_get_product_reviews 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 products_get_product_reviews completely? +

Set action: deny in the PolicyLayer policy for products_get_product_reviews. 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 products_get_product_reviews? +

products_get_product_reviews 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.

More on Ghl, and thousands of servers like it.

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