exercise_options_position

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

Server Alpaca MCP Server metachain-org/alpaca-mcp-server
Category Financial
Risk class Critical
Parameters 00 required

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.

Why exercise_options_position needs a policy

Exercising an options contract is a financial commitment that triggers a real transaction — converting an option into the underlying asset. This action has direct financial consequences (potential purchase/sale of shares at the strike price), is largely irreversible once submitted, and constitutes a financial obligation.

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

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 (metachain-org/alpaca-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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