pressure_calc

Calculate pressure, force, or area using P = F/A.

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

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

What pressure_calc does on GadgetHumans API Hub

AI agents invoke pressure_calc to trigger actions in GadgetHumans API Hub. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Why pressure_calc is rated High

This tool executes a mathematical calculation (P = F/A) to derive pressure, force, or area. It has no side effects, doesn't read/write persistent data, and poses minimal risk. It is classified as Execute rather than Read because it performs a computation/transformation rather than retrieving existing data. Severity is low since misuse is limited to incorrect numeric results with no system-level impact.

From the tool's definition 'Calculate pressure, force, or area using P = F/A' — performs a computation based on input arguments

Questions about pressure_calc

What does the pressure_calc tool do? +

Calculate pressure, force, or area using P = F/A. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pressure_calc? +

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

pressure_calc is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit pressure_calc? +

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

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

pressure_calc 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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