calculate_tool · Modular MCP Server with Python Tools MCP

WHAT IT DOES

What calculate_tool does on Modular MCP Server with Python Tools

AI agents invoke calculate_tool to trigger actions in Modular MCP Server with Python Tools. 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 IT NEEDS A POLICY

Why calculate_tool needs a policy

Evaluating mathematical expressions typically involves running code or an expression parser at runtime. While described as 'safe', expression evaluators can be misused to execute unintended logic. It is not purely a Read operation since it executes computation.

From the tool's definition 'Safely evaluate mathematical expressions' — the word 'evaluate' indicates execution of an expression; 'safely' implies sandboxing but execution of arbitrary math expressions can still be abused (e.g., via eval-based implementations).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

calculate_tool Rate-limited

calculate_tool 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": {
    "calculate_tool": {
      "limits": [
        {
          "counter": "calculate_tool_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Modular MCP Server with Python Tools, so you can run agents against it safely.

FAQ

Questions about calculate_tool

What does the calculate_tool tool do? +

Safely evaluate mathematical expressions. It is categorised as a Execute tool in the Modular MCP Server with Python Tools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on calculate_tool? +

Register the Modular MCP Server with Python Tools MCP server in PolicyLayer and add a rule for calculate_tool: 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 Modular MCP Server with Python Tools. Nothing to install.

What risk level is calculate_tool? +

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

Can I rate-limit calculate_tool? +

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

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

calculate_tool is provided by the Modular MCP Server with Python Tools MCP server (tunamsyar/ollama-mcp-py). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.