run_monte_carlo_simulation

WHAT IT DOES

What run_monte_carlo_simulation does on Investment Statement MCP Server

AI agents invoke run_monte_carlo_simulation to trigger actions in Investment Statement MCP Server. 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 run_monte_carlo_simulation needs a policy

Monte Carlo simulations are complex stochastic computations that can run arbitrary algorithms on financial data. This falls under Execute rather than Read because it performs algorithmic computation with effects that depend on input parameters (confidence intervals, number of iterations, volatility assumptions, etc.).

From the tool's definition Tool name 'run_monte_carlo_simulation' indicates execution of a computational algorithm on investment data. The server context shows this operates on portfolio data (holdings, transactions, account balances) from financial institutions.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_monte_carlo_simulation Rate-limited

run_monte_carlo_simulation 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": {
    "run_monte_carlo_simulation": {
      "limits": [
        {
          "counter": "run_monte_carlo_simulation_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 Investment Statement MCP Server, so you can run agents against it safely.

FAQ

Questions about run_monte_carlo_simulation

What does the run_monte_carlo_simulation tool do? +

run_monte_carlo_simulation. It is categorised as a Execute tool in the Investment Statement MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_monte_carlo_simulation? +

Register the Investment Statement MCP Server MCP server in PolicyLayer and add a rule for run_monte_carlo_simulation: 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 Investment Statement MCP Server. Nothing to install.

What risk level is run_monte_carlo_simulation? +

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

Can I rate-limit run_monte_carlo_simulation? +

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

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

run_monte_carlo_simulation is provided by the Investment Statement MCP Server MCP server (vinnycarter05/investing-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.