fuel_cost
Calculate fuel cost for a journey.
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.
Attacks that exploit this kind of access
The rule that runs fuel_cost safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fuel_cost, this is the rule to start with:
fuel_cost is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every fuel_cost call is checked against it from then on.
Questions about fuel_cost
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.
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.
fuel_cost is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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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