AI agents call get_ride_history to retrieve information from Mcp Lyft without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves past ride information from the user's Lyft account. It has no side effects, does not modify data, does not execute commands, and does not involve financial transactions. It is purely a data retrieval operation, which fits the Read category.
From the tool's definition Tool name 'get_ride_history' and description 'Get recent Lyft ride history' indicate a read-only operation that retrieves historical data without modifying or deleting anything.
Attacks that exploit this kind of access
Get recent Lyft ride history. It is categorised as a Read tool in the Mcp Lyft MCP Server, which means it retrieves data without modifying state.
Register the Mcp Lyft MCP server in PolicyLayer and add a rule for get_ride_history: 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 Mcp Lyft. Nothing to install.
get_ride_history 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_ride_history 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_ride_history. 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_ride_history is provided by the Mcp Lyft MCP server (markswendsen-code/mcp-lyft). 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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