Search for hotels using Google Hotels via SerpAPI. Returns a list of hotels with prices, ratings, reviews, amenities, and booking information for a given location and date range. Pagination: The response includes a next_page_token. To get more results, call search_hotels again with the same param...
AI agents call search_hotels 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 is a read-only search tool that retrieves and filters public hotel information. It has no side effects, does not execute code or commands, does not modify data, and does not involve financial transactions. The misuse risk is minimal as incorrect queries simply return no or irrelevant results.
From the tool's definition Tool 'search_hotels' queries hotel information via SerpAPI and 'Returns a list of hotels with prices, ratings, reviews, amenities, and booking information'.
Documented attack patterns abuse exactly the kind of access search_hotels 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 search_hotels:
{
"version": "1",
"default": "deny",
"tools": {
"search_hotels": {}
}
}search_hotels is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for hotels using Google Hotels via SerpAPI. Returns a list of hotels with prices, ratings, reviews, amenities, and booking information for a given location and date range. Pagination: The response includes a next_page_token. To get more results, call search_hotels again with the same parameters plus the next_page_token value. Sorting: Use sort_by to order results: 3 = lowest price, 8 = highest rating, 13 = most reviewed. Filtering: Narrow results by price range, star rating, minimum review rating, free cancellation, and more. Use get_hotel_details with a property_token from the results to get detailed pricing, reviews breakdown, and full amenity lists for a specific hotel. 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 search_hotels: 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.
search_hotels 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 search_hotels 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 search_hotels. 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.
search_hotels 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.