fuel_cost

Calculate fuel cost for a journey.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/fuel-cost.md

What fuel_cost does on GadgetHumans API Hub

AI agents call fuel_cost to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why fuel_cost is rated Low

This is a pure calculation tool that takes journey parameters (distance, fuel price, consumption rate, etc.) as inputs and returns a computed fuel cost estimate. It has no side effects, does not modify any data, does not execute arbitrary code or external operations, and does not involve financial transactions (it merely calculates an estimate, not actually processing payments or financial obligations).

From the tool's definition Tool name 'fuel_cost' and description 'Calculate fuel cost for a journey' indicate a computational utility that retrieves or calculates information without modifying data or executing external operations.

Questions about fuel_cost

What does the fuel_cost tool do? +

Calculate fuel cost for a journey. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fuel_cost? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for fuel_cost: 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 GadgetHumans API Hub. Nothing to install.

What risk level is fuel_cost? +

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

Can I rate-limit fuel_cost? +

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

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

fuel_cost is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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