products_update_product_review

Update Product Reviews

SERVERGhl SOURCE@aiwerk/mcp-server-ghl

Medium RISK CLASS

Category Write

Parameters 93 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What products_update_product_review does on Ghl

AI agents use products_update_product_review to create or update resources in Ghl, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ghl environment.

Parameter	Type	Required	Description
`altId`	string	—	Location Id or Agency Id Defaults to GHL_LOCATION_ID when omitted.
`reply`	array	—	Reply of the review
`detail`	string	—	Detailed Review of the product
`rating`	number	—	Rating of the product
`status`	string	Yes	Status of the review
`altType`	string	—	Defaults to GHL_LOCATION_ID when omitted.
`headline`	string	—	Headline of the Review
`reviewId`	string	Yes	Review Id
`productId`	string	Yes	Product Id

Parameters from the server's own tool schema.

RISK

Why products_update_product_review is rated Medium

An AI agent can call products_update_product_review faster than any human can review: one bad instruction and it creates or modifies resources in Ghl by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs products_update_product_review 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_update_product_review, this is the rule to start with:

products_update_product_review Rate-limited

products_update_product_review 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "products_update_product_review": {
      "limits": [
        {
          "counter": "products_update_product_review_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every products_update_product_review call is checked against it from then on.

FAQ

Questions about products_update_product_review

What does the products_update_product_review tool do? +

Update Product Reviews. It is categorised as a Write tool in the Ghl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does products_update_product_review accept? +

products_update_product_review accepts 9 parameters: altId, reply, detail, rating, status, altType, headline, reviewId, productId. Required: status, reviewId, productId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on products_update_product_review? +

Register the Ghl MCP server in PolicyLayer and add a rule for products_update_product_review: 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_update_product_review? +

products_update_product_review is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit products_update_product_review? +

Yes. Add a rate_limit block to the products_update_product_review 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_update_product_review completely? +

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

products_update_product_review 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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