AI agents call glassdoor_reviews 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.
This tool retrieves review data from Glassdoor, a read-only operation with no data modification, deletion, or external execution. Severity is medium due to potential privacy concerns (employee reviews may contain sensitive information) and possible terms-of-service violations from automated scraping, though the blast radius from misuse is limited to data retrieval rather than system compromise or financial impact.
From the tool's definition Tool name 'glassdoor_reviews' indicates data retrieval from Glassdoor review platform. Server description confirms it 'provides access to Outscraper's data extraction services' for 'reviews across platforms.' Tool description is empty, reducing confidence.
Documented attack patterns abuse exactly the kind of access glassdoor_reviews 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 glassdoor_reviews:
{
"version": "1",
"default": "deny",
"tools": {
"glassdoor_reviews": {}
}
}glassdoor_reviews is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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glassdoor_reviews. 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 glassdoor_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 Outscraper MCP Server. Nothing to install.
glassdoor_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 glassdoor_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 glassdoor_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.
glassdoor_reviews 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.
Free to start. No card required.
28 Outscraper MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.