create_sample_dataset_from_portfolio_tool

WHAT IT DOES

What create_sample_dataset_from_portfolio_tool does on Alpaca MCP Gold Standard

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

WHY IT NEEDS A POLICY

Why create_sample_dataset_from_portfolio_tool needs a policy

The tool creates new data (a sample dataset) from existing portfolio information, which is a reversible write operation. It does not execute trades, delete data, or move money.

From the tool's definition Tool name 'create_sample_dataset_from_portfolio_tool' indicates it creates or generates a new dataset derived from portfolio data. The verb 'create' and context within a trading operations server suggest data generation/writing.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_sample_dataset_from_portfolio_tool Rate-limited

create_sample_dataset_from_portfolio_tool 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": {
    "create_sample_dataset_from_portfolio_tool": {
      "limits": [
        {
          "counter": "create_sample_dataset_from_portfolio_tool_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 Alpaca MCP Gold Standard, so you can run agents against it safely.

FAQ

Questions about create_sample_dataset_from_portfolio_tool

What does the create_sample_dataset_from_portfolio_tool tool do? +

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

How do I enforce a policy on create_sample_dataset_from_portfolio_tool? +

Register the Alpaca MCP Gold Standard MCP server in PolicyLayer and add a rule for create_sample_dataset_from_portfolio_tool: 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 Alpaca MCP Gold Standard. Nothing to install.

What risk level is create_sample_dataset_from_portfolio_tool? +

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

Can I rate-limit create_sample_dataset_from_portfolio_tool? +

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

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

create_sample_dataset_from_portfolio_tool is provided by the Alpaca MCP Gold Standard MCP server (joravetz/alpaca-mcp-gold). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.