discount_calculator

Calculate the final price after a discount (percentage or fixed amount).

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/discount-calculator.md

What discount_calculator does on GadgetHumans API Hub

AI agents call discount_calculator 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 discount_calculator is rated Low

This is a pure computational utility that reads input values and returns a calculated output. There is no data persistence, no code execution beyond arithmetic, no destructive operations, and no financial transaction execution—it merely performs a mathematical calculation. It belongs in the Read category as a stateless query tool.

From the tool's definition Tool is named 'discount_calculator' and described as calculating 'the final price after a discount'. It performs a mathematical computation based on input parameters (original price, discount amount/percentage) and returns a calculated result without…

Questions about discount_calculator

What does the discount_calculator tool do? +

Calculate the final price after a discount (percentage or fixed amount). 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 discount_calculator? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for discount_calculator: 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 discount_calculator? +

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

Can I rate-limit discount_calculator? +

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

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

discount_calculator 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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