exercise_options_position

Exercises a held option contract, converting it into the underlying asset.

SERVERAlpaca MCP Server SOURCEcliffsgpt/alpaca-mcp-clone

Critical RISK CLASS

Category Financial

Parameters 00 required

Recommended Approval-gatedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cliffsgpt-alpaca-mcp-clone/exercise-options-position.md

WHAT IT DOES

What exercise_options_position does on Alpaca MCP Server

AI agents use exercise_options_position to commit financial operations through Alpaca MCP Server, usually the final step of a payment, billing, or trading workflow. A call moves real money.

RISK

Why exercise_options_position is rated Critical

Exercising an options contract is an irreversible financial operation that commits the holder to buying or selling the underlying asset at the strike price. This triggers real financial transactions and obligations, making it a Financial category action.

From the tool's definition Exercises a held option contract, converting it into the underlying asset.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs exercise_options_position safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Alpaca MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For exercise_options_position, this is the rule to start with:

exercise_options_position Approval-gated

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

View as policy code

policy.json

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

GATE THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Alpaca MCP Server, apply this rule, and every exercise_options_position call is checked against it from then on.

FAQ

Questions about exercise_options_position

What does the exercise_options_position tool do? +

Exercises a held option contract, converting it into the underlying asset. It is categorised as a Financial tool in the Alpaca MCP Server MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

How do I enforce a policy on exercise_options_position? +

Register the Alpaca MCP Server MCP server in PolicyLayer and add a rule for exercise_options_position: 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 exercise_options_position? +

exercise_options_position 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 exercise_options_position? +

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

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

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

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