Get individual guest reviews for a specific hotel from Google Hotels via SerpAPI. Use this after search_hotels to read actual review text for a hotel. Pass the property_token from a search result. Returns: Individual reviews with full text snippets, ratings, sub-ratings (rooms, service, location)...
AI agents call get_hotel_reviews to retrieve information from Playwright Stealth without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation that retrieves existing review data from an external service. There are no side effects—no data is created, modified, deleted, or executed. The sorting and filtering capabilities are standard read query parameters. The worst-case misuse is information disclosure of already-public hotel reviews, which presents minimal risk. This is categorized as Read with low severity.
From the tool's definition Tool retrieves and reads individual guest reviews for hotels from Google Hotels via SerpAPI. Description states 'Get individual guest reviews' and 'Returns: Individual reviews with full text snippets, ratings' indicating data retrieval with no modification…
Documented attack patterns abuse exactly the kind of access get_hotel_reviews gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Stealth, and nothing reaches the server without passing your rules. This is the rule we recommend for get_hotel_reviews:
{
"version": "1",
"default": "deny",
"tools": {
"get_hotel_reviews": {}
}
}get_hotel_reviews is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get individual guest reviews for a specific hotel from Google Hotels via SerpAPI. Use this after search_hotels to read actual review text for a hotel. Pass the property_token from a search result. Returns: Individual reviews with full text snippets, ratings, sub-ratings (rooms, service, location), review dates, reviewer info, hotel highlights, and hotel management responses when available. Sorting: Use sort_by to order reviews: 1 = most helpful (default), 2 = most recent, 3 = highest score, 4 = lowest score. Filtering: Use category_token (from get_hotel_details reviews_breakdown) to filter by category, or source_number to filter by review source. Pagination: The response includes a next_page_token. To get more reviews, call get_hotel_reviews again with the same parameters plus the next_page_token value. It is categorised as a Read tool in the Playwright Stealth MCP Server, which means it retrieves data without modifying state.
Register the Playwright Stealth MCP server in PolicyLayer and add a rule for get_hotel_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 Playwright Stealth. Nothing to install.
get_hotel_reviews 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 get_hotel_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.
Set action: deny in the PolicyLayer policy for get_hotel_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.
get_hotel_reviews is provided by the Playwright Stealth MCP server (pulsemcp/mcp-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright Stealth, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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68 Playwright Stealth tools catalogued and risk-classified — across an index of 43,000+ MCP servers.