Tamamlanan yolculuk için şoförü puanlar
AI agents use uber_sofor_puanla to create or update resources in Uber MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Uber MCP Server environment.
This tool submits a rating for a completed trip driver. It creates/modifies rating data in the Uber system, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. Misuse could unfairly affect a driver's rating, hence medium severity.
From the tool's definition 'Tamamlanan yolculuk için şoförü puanlar' - rates/scores a driver for a completed trip
Attacks that exploit this kind of access
Tamamlanan yolculuk için şoförü puanlar. It is categorised as a Write tool in the Uber MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Uber MCP Server MCP server in PolicyLayer and add a rule for uber_sofor_puanla: 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 Uber MCP Server. Nothing to install.
uber_sofor_puanla is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the uber_sofor_puanla 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_sofor_puanla. 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_sofor_puanla is provided by the Uber MCP Server MCP server (skynet-base/uber-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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