quadratic_solver

Solve quadratic equation ax² + bx + c = 0.

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/quadratic-solver.md

What quadratic_solver does on GadgetHumans API Hub

AI agents call quadratic_solver 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 quadratic_solver is rated Low

This tool takes numerical inputs (coefficients a, b, c) and returns computed solutions. It has no side effects, does not modify data, does not execute arbitrary code or commands, does not delete anything, and does not involve financial transactions. It is a straightforward mathematical utility that only reads inputs and returns calculated outputs, making it a Read category tool with low severity.

From the tool's definition The tool 'quadratic_solver' performs a mathematical calculation to solve quadratic equations. The description states it 'Solve[s] quadratic equation ax² + bx + c = 0', which is a pure computational operation that retrieves mathematical results without…

Questions about quadratic_solver

What does the quadratic_solver tool do? +

Solve quadratic equation ax² + bx + c = 0. 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 quadratic_solver? +

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

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

Can I rate-limit quadratic_solver? +

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

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

quadratic_solver 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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