uber_get_price_estimates

THE RISK

Low Risk

Why uber_get_price_estimates needs a policy

This tool retrieves pricing information for hypothetical rides without creating, modifying, deleting, or executing any operations. It does not commit any financial obligations or perform any irreversible actions. While the server as a whole includes financial tools (like uber_request_ride which commits a ride booking), this specific tool only queries and returns data.

From the tool's definition Tool name 'uber_get_price_estimates' and description 'Get price estimates for a ride between two locations' indicate data retrieval with no side effects. The verb 'Get' and the word 'estimates' confirm this is a query operation.

Documented attack patterns abuse exactly the kind of access uber_get_price_estimates gives an agent:

POLICY

How to control uber_get_price_estimates

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Uber Server, and nothing reaches the server without passing your rules. This is the rule we recommend for uber_get_price_estimates:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "uber_get_price_estimates": {}
  }
}

uber_get_price_estimates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP Uber Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More MCP Uber Server tools

Financial uber_request_ride Request an Uber ride Destructive uber_cancel_ride Cancel an ongoing ride request Write uber_set_access_token Set the access token for a user after OAuth callback Read uber_get_auth_url Get the Uber authorization URL for user to authenticate Read uber_get_ride_status Get the current status of a ride request

All 6 MCP Uber Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about uber_get_price_estimates

What does the uber_get_price_estimates tool do? +

Get price estimates for a ride between two locations. It is categorised as a Read tool in the MCP Uber Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on uber_get_price_estimates? +

Register the MCP Uber Server MCP server in PolicyLayer and add a rule for uber_get_price_estimates: 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.

What risk level is uber_get_price_estimates? +

uber_get_price_estimates is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit uber_get_price_estimates? +

Yes. Add a rate_limit block to the uber_get_price_estimates 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.

How do I block uber_get_price_estimates completely? +

Set action: deny in the PolicyLayer policy for uber_get_price_estimates. 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.

What MCP server provides uber_get_price_estimates? +

uber_get_price_estimates 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.

Enforce policy on every MCP Uber Server tool call.

Start from MCP Uber Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →