retirement_calc

A read tool on the GadgetHumans API Hub MCP server.

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/retirement-calc.md

WHAT IT DOES

What retirement_calc does on GadgetHumans API Hub

AI agents call retirement_calc 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.

RISK

Why retirement_calc is rated Low

Based on the tool name and server context (utility APIs), this appears to be a computational/calculation tool that reads input parameters and returns calculated results without modifying data or executing external operations. No evidence of destructive, financial, execute, or write capabilities.

From the tool's definition Tool name 'retirement_calc' suggests a calculator function (read-only computation). Description is empty, limiting direct evidence. Server context lists 'amortization_calc' as a sibling, which is similarly a utility calculator.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs retirement_calc 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 retirement_calc, this is the rule to start with:

retirement_calc Allowed

retirement_calc is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "retirement_calc": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every retirement_calc call is checked against it from then on.

FAQ

Questions about retirement_calc

What does the retirement_calc tool do? +

retirement_calc is a read tool on the GadgetHumans API Hub MCP server. 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 retirement_calc? +

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

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

Can I rate-limit retirement_calc? +

Yes. Add a rate_limit block to the retirement_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 retirement_calc completely? +

Set action: deny in the PolicyLayer policy for retirement_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 retirement_calc? +

retirement_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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