evaluate_math

Evaluate a mathematical expression safely.

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/evaluate-math.md

WHAT IT DOES

What evaluate_math does on GadgetHumans API Hub

AI agents invoke evaluate_math 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.

RISK

Why evaluate_math is rated High

Evaluating a mathematical expression involves executing/computing dynamic input, which falls under the Execute category. While the description claims it is done 'safely', the tool still runs user-supplied expressions.

From the tool's definition "Evaluate a mathematical expression safely" — the word 'evaluate' implies execution of an expression, not merely retrieval of static data.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

evaluate_math Rate-limited

evaluate_math stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "evaluate_math": {
      "limits": [
        {
          "counter": "evaluate_math_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT 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 evaluate_math call is checked against it from then on.

FAQ

Questions about evaluate_math

What does the evaluate_math tool do? +

Evaluate a mathematical expression safely. 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 evaluate_math? +

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

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

Can I rate-limit evaluate_math? +

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

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

evaluate_math 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.

KEEP EXPLORING

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