Get personalized event recommendations based on performers, events, or location. This tool first searches for performers and/or events based on the query (q parameter), then uses the IDs to find similar events. Use location parameters (geoip, lat/lon, postal_code) for nearby events.
AI agents call find_event_recommendations to retrieve information from SeatGeek MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only queries against the SeatGeek API to search for and retrieve event and performer information, then computes recommendations based on that data. It has no side effects, cannot modify state, and poses minimal risk if misused by an AI agent—worst case being excessive API calls or nonsensical search queries. It falls clearly into the Read category.
From the tool's definition Tool 'find_event_recommendations' is described as retrieving 'personalized event recommendations' and 'searches for performers and/or events' with no mention of creating, modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Get personalized event recommendations based on performers, events, or location. This tool first searches for performers and/or events based on the query (q parameter), then uses the IDs to find similar events. Use location parameters (geoip, lat/lon, postal_code) for nearby events. It is categorised as a Read tool in the SeatGeek MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SeatGeek MCP Server MCP server in PolicyLayer and add a rule for find_event_recommendations: 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 SeatGeek MCP Server. Nothing to install.
find_event_recommendations 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 find_event_recommendations 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 find_event_recommendations. 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.
find_event_recommendations is provided by the SeatGeek MCP Server MCP server (petershin23/seatgeek-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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