Critical Risk →

optimize_portfolio

Optimizes a portfolio based on stocks, risk tolerance, and investment horizon.

How to control optimize_portfolio ↓

AI agents use optimize_portfolio to commit financial operations through Phoenix — usually the final step of a payment, billing, or trading workflow. A call moves real money.

Critical Risk

Portfolio optimization involves recommending or enacting changes to financial asset allocation. Even if it only produces recommendations, the context of sibling tools (analyze_stock, generate_investment_report, forecast_market_trends) suggests this is part of an active financial advisory/trading system.

From the tool's definition 'Optimizes a portfolio based on stocks, risk tolerance, and investment horizon' — directly acts on financial portfolio composition

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "optimize_portfolio": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

Any call to optimize_portfolio is blocked until a human approves it. The rest of the server keeps working.

  1. Create a free account and register Phoenix — 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.
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Go deeper

What does the optimize_portfolio tool do? +

Optimizes a portfolio based on stocks, risk tolerance, and investment horizon. It is categorised as a Financial tool in the Phoenix MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

How do I enforce a policy on optimize_portfolio? +

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

What risk level is optimize_portfolio? +

optimize_portfolio is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit optimize_portfolio? +

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

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

optimize_portfolio is provided by the Phoenix MCP server (@Arize-ai/phoenix). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Phoenix tool call.

Deterministic rules across all 34 Phoenix tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

34 Phoenix tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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