Get up to 3 review excerpts for a business
AI agents call get_reviews to retrieve information from Yelp Fusion 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 and displays review excerpts, which is a read-only operation with no side effects, data modification, or external action triggering. The limited scope (up to 3 excerpts) and read-only nature classify it as a Read operation with low severity risk.
From the tool's definition Tool name 'get_reviews' and description 'Get up to 3 review excerpts for a business' indicate retrieval of existing review data with no modification, deletion, or execution of code.
Attacks that exploit this kind of access
Get up to 3 review excerpts for a business. It is categorised as a Read tool in the Yelp Fusion MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Yelp Fusion MCP Server MCP server in PolicyLayer and add a rule for get_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 Yelp Fusion MCP Server. Nothing to install.
get_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_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_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_reviews is provided by the Yelp Fusion MCP Server MCP server (shawndrake2/mcp-yelp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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