This record as markdown: /tools/199-mcp-mcp-uber/uber-request-ride.md
What uber_request_ride does on MCP Uber Server
AI agents use uber_request_ride to commit financial operations through MCP Uber Server, usually the final step of a payment, billing, or trading workflow. A call moves real money.
Why uber_request_ride is rated Critical
Requesting an Uber ride creates a real financial transaction: the user is charged for the ride. This falls squarely in the Financial category as it commits financial obligations. The blast radius is critical because an AI agent could book rides without explicit user confirmation, leading to unwanted charges and potential fraud.
From the tool's definition 'Request an Uber ride' — directly initiates a paid ride booking, committing a financial obligation on the user's account
Attacks that exploit this kind of access
The rule that runs uber_request_ride safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Uber Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For uber_request_ride, this is the rule to start with:
Any call to uber_request_ride is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Uber Server, apply this rule, and every uber_request_ride call is checked against it from then on.
Questions about uber_request_ride
Request an Uber ride. It is categorised as a Financial tool in the MCP Uber Server MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the MCP Uber Server MCP server in PolicyLayer and add a rule for uber_request_ride: 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 Uber Server. Nothing to install.
uber_request_ride is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the uber_request_ride 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 uber_request_ride. 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.
uber_request_ride is provided by the MCP Uber Server MCP server (199-mcp/mcp-uber). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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