Low Risk

place_limit_order

Place a limit order.

How to control place_limit_order ↓

AI agents call place_limit_order to retrieve information from Alpaca MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Even though place_limit_order only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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

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

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

place_limit_order 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 Alpaca MCP Server — 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 place_limit_order tool do? +

Place a limit order. It is categorised as a Read tool in the Alpaca MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on place_limit_order? +

Register the Alpaca MCP Server MCP server in PolicyLayer and add a rule for place_limit_order: 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 Server. Nothing to install.

What risk level is place_limit_order? +

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

Can I rate-limit place_limit_order? +

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

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

place_limit_order is provided by the Alpaca MCP Server MCP server (tedlikeskix/alpaca-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Alpaca MCP Server tool call.

Deterministic rules across all 9 Alpaca MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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9 Alpaca MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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