Low Risk

sharpe_ratio

Calculate Sharpe ratio of a return series relative to a risk-free rate. Sharpe = (mean - Rf) / std. Higher is better. Example: sharpe_ratio([0.1, 0.2, -0.05, 0.05], 0.01) ≈ 0.53

How to control sharpe_ratio ↓

What sharpe_ratio does on MCP Calc Tools

AI agents call sharpe_ratio 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 sharpe_ratio needs a policy

This is a pure computational tool that performs financial analysis (reading/analyzing financial data) rather than executing trades, moving money, or modifying financial systems. It returns an analytical metric used in investment decision-making but does not execute transactions or change system state.

From the tool's definition The tool calculates and returns the Sharpe ratio metric from provided return data. The description explicitly states it 'Calculate[s] Sharpe ratio' with a straightforward mathematical formula (mean - Rf) / std.

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

How to control sharpe_ratio

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 sharpe_ratio:

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

sharpe_ratio 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 sharpe_ratio

What does the sharpe_ratio tool do? +

Calculate Sharpe ratio of a return series relative to a risk-free rate. Sharpe = (mean - Rf) / std. Higher is better. Example: sharpe_ratio([0.1, 0.2, -0.05, 0.05], 0.01) ≈ 0.53. 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 sharpe_ratio? +

Register the MCP Calc Tools MCP server in PolicyLayer and add a rule for sharpe_ratio: 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 sharpe_ratio? +

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

Can I rate-limit sharpe_ratio? +

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

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

sharpe_ratio 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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