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risk_drawdown

Drawdown decomposition with underwater curve. Use when analyzing drawdown characteristics of a return series. Provide an array of returns. Returns: max drawdown, drawdown duration, recovery time, current drawdown, and all drawdown periods with start/end indices.

Part of the Quantoracle server.

risk_drawdown can trigger actions in Quantoracle, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke risk_drawdown to trigger processes or run actions in Quantoracle. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

risk_drawdown can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "risk_drawdown": {
      "limits": [
        {
          "counter": "risk_drawdown_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Quantoracle policy for all 74 tools.

Get this rule live on your own Quantoracle server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access risk_drawdown gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so risk_drawdown only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the risk_drawdown tool do? +

Drawdown decomposition with underwater curve. Use when analyzing drawdown characteristics of a return series. Provide an array of returns. Returns: max drawdown, drawdown duration, recovery time, current drawdown, and all drawdown periods with start/end indices.. It is categorised as a Execute tool in the Quantoracle MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on risk_drawdown? +

Register the Quantoracle MCP server in PolicyLayer and add a rule for risk_drawdown: 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 Quantoracle. Nothing to install.

What risk level is risk_drawdown? +

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

Can I rate-limit risk_drawdown? +

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

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

risk_drawdown is provided by the Quantoracle MCP server (QuantOracle/quantoracle). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Quantoracle tool call.

Deterministic rules across all 74 Quantoracle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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