Search for flights on Google Flights with full filtering and pagination. Returns structured flight data including prices, airlines, times, durations, stops, individual flight segments with aircraft type and legroom, fare brand (e.g.
AI agents call search_flights to retrieve information from Langfuse Observability without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries flight information from Google Flights (prices, airlines, times, durations, stops, aircraft type, legroom, fare brand) with filtering and pagination capabilities. It has no side effects—it only reads and returns data. No modifications, deletions, bookings, or financial transactions occur. This is purely a data retrieval operation.
From the tool's definition Tool name 'search_flights' and description states it 'Search for flights' and 'Returns structured flight data' with no mention of booking, modifying, or deleting operations.
Attacks that exploit this kind of access
Search for flights on Google Flights with full filtering and pagination. Returns structured flight data including prices, airlines, times, durations, stops, individual flight segments with aircraft type and legroom, fare brand (e.g. It is categorised as a Read tool in the Langfuse Observability MCP Server, which means it retrieves data without modifying state.
Register the Langfuse Observability MCP server in PolicyLayer and add a rule for search_flights: 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 Langfuse Observability. Nothing to install.
search_flights 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_flights 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_flights. 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_flights is provided by the Langfuse Observability MCP server (langfuse-observability-mcp-server). 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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