AI agents call trustpilot_search to retrieve information from Outscraper MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves review data from Trustpilot, a review aggregation platform. This is a Read operation—it queries and retrieves existing data with no side effects or modifications. Confidence is 0.75 rather than higher because the tool description is empty, requiring inference from context (tool name and sibling operations).
From the tool's definition Tool name 'trustpilot_search' indicates search/query functionality on Trustpilot review platform. Server description confirms it provides 'data extraction services' and 'comprehensive web scraping tasks' for reviews across platforms.
Documented attack patterns abuse exactly the kind of access trustpilot_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Outscraper MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for trustpilot_search:
{
"version": "1",
"default": "deny",
"tools": {
"trustpilot_search": {}
}
}trustpilot_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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trustpilot_search. It is categorised as a Read tool in the Outscraper MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Outscraper MCP Server MCP server in PolicyLayer and add a rule for trustpilot_search: 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 Outscraper MCP Server. Nothing to install.
trustpilot_search 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 trustpilot_search 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 trustpilot_search. 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.
trustpilot_search is provided by the Outscraper MCP Server MCP server (outscraper/outscraper-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Outscraper MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 Outscraper MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.