prime_operations

Check if a number is prime, find next prime, or factorize into primes.

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/prime-operations.md

What prime_operations does on GadgetHumans API Hub

AI agents call prime_operations 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 prime_operations is rated Low

Prime checking, finding next primes, and factorization are read-only mathematical computations. They query properties of numbers and return results with no side effects, data modification, or external execution. This clearly falls under Read category with low severity due to minimal potential for misuse.

From the tool's definition Tool performs mathematical analysis operations: 'Check if a number is prime', 'find next prime', or 'factorize into primes'.

Questions about prime_operations

What does the prime_operations tool do? +

Check if a number is prime, find next prime, or factorize into primes. 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 prime_operations? +

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

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

Can I rate-limit prime_operations? +

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

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

prime_operations 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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