Low Risk

black_scholes

Price a European option using Black-Scholes formula. Returns the option premium as a number. Inputs: S (underlying price), K (strike price), T (time to expiry in years), r (risk-free rate as decimal), sigma (volatility as decimal), optionType (

How to control black_scholes ↓

What black_scholes does on MCP Calc Tools

AI agents call black_scholes to retrieve information from MCP Calc Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why black_scholes needs a policy

This tool performs a mathematical calculation (Black-Scholes pricing formula) and returns a computed value. It does not execute trades, move money, or commit any financial obligations — it only computes an option premium. The result is informational/analytical.

From the tool's definition Price a European option using Black-Scholes formula. Returns the option premium as a number.

Documented attack patterns abuse exactly the kind of access black_scholes gives an agent:

How to control black_scholes

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Calc Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for black_scholes:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "black_scholes": {}
  }
}

black_scholes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register MCP Calc Tools — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about black_scholes

What does the black_scholes tool do? +

Price a European option using Black-Scholes formula. Returns the option premium as a number. Inputs: S (underlying price), K (strike price), T (time to expiry in years), r (risk-free rate as decimal), sigma (volatility as decimal), optionType (. It is categorised as a Read tool in the MCP Calc Tools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on black_scholes? +

Register the MCP Calc Tools MCP server in PolicyLayer and add a rule for black_scholes: 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 MCP Calc Tools. Nothing to install.

What risk level is black_scholes? +

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

Can I rate-limit black_scholes? +

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

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

black_scholes is provided by the MCP Calc Tools MCP server (nbiish/mcp-calc-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Calc Tools tool call.

Start from MCP Calc Tools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

22 MCP Calc Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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