predict_overtake_probability

Predict the probability of one driver overtaking another.

Server F1 luffy610/f1-mcp
Category Read
Risk class Low
Parameters 00 required

What predict_overtake_probability does on F1

AI agents call predict_overtake_probability to retrieve information from F1 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why predict_overtake_probability needs a policy

This tool queries and analyzes existing telemetry and race data to generate a prediction model output. It retrieves information about drivers and track conditions to compute a probability score. There are no side effects—no data is created, modified, deleted, or external systems triggered. The prediction is purely analytical with no impact on race systems or real-world operations.

From the tool's definition Tool performs 'predict' operation on Formula 1 race data, analyzing driver metrics to estimate overtake probability. Description indicates data retrieval and analysis with no modification, deletion, or code execution capability.

Questions about predict_overtake_probability

What does the predict_overtake_probability tool do? +

Predict the probability of one driver overtaking another. It is categorised as a Read tool in the F1 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on predict_overtake_probability? +

Register the F1 MCP server in PolicyLayer and add a rule for predict_overtake_probability: 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 F1. Nothing to install.

What risk level is predict_overtake_probability? +

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

Can I rate-limit predict_overtake_probability? +

Yes. Add a rate_limit block to the predict_overtake_probability 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 predict_overtake_probability completely? +

Set action: deny in the PolicyLayer policy for predict_overtake_probability. 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 predict_overtake_probability? +

predict_overtake_probability is provided by the F1 MCP server (luffy610/f1-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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