apply_optimization · Portfolio MCP: Risk & Policy

WHAT IT DOES

What apply_optimization does on Portfolio

AI agents use apply_optimization to create or update resources in Portfolio — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Portfolio environment.

WHY IT NEEDS A POLICY

Why apply_optimization needs a policy

The tool appears to apply optimization algorithms to portfolio weights/allocations, which constitutes modification of portfolio data. This is reversible (can be undone by applying different optimizations or reverting to prior state), making it Write rather than Destructive. However, unauthorized optimization could significantly alter investment decisions, warranting high severity.

From the tool's definition Tool name 'apply_optimization' combined with server context that enables 'weight optimization' and portfolio management operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

apply_optimization Rate-limited

apply_optimization stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_optimization": {
      "limits": [
        {
          "counter": "apply_optimization_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Portfolio, so you can run agents against it safely.

FAQ

Questions about apply_optimization

What does the apply_optimization tool do? +

apply_optimization. It is categorised as a Write tool in the Portfolio MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_optimization? +

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

What risk level is apply_optimization? +

apply_optimization is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit apply_optimization? +

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

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

apply_optimization is provided by the Portfolio MCP server (l4b4r4b4b4/portfolio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.