Get a comprehensive summary of the portfolio including account details and open positions.
AI agents call get_portfolio_summary to retrieve information from Alpaca Trading MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing portfolio data (account details and open positions) without creating, modifying, deleting, or executing any operations. It is a read-only data access function. While the server context involves financial operations, this specific tool performs only data retrieval, not financial transactions.
From the tool's definition Tool name 'get_portfolio_summary' and description 'Get a comprehensive summary of the portfolio including account details and open positions' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_portfolio_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Alpaca Trading MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_portfolio_summary:
{
"version": "1",
"default": "deny",
"tools": {
"get_portfolio_summary": {}
}
}get_portfolio_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a comprehensive summary of the portfolio including account details and open positions. It is categorised as a Read tool in the Alpaca Trading MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Alpaca Trading MCP Server MCP server in PolicyLayer and add a rule for get_portfolio_summary: 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 Trading MCP Server. Nothing to install.
get_portfolio_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_portfolio_summary 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.
Set action: deny in the PolicyLayer policy for get_portfolio_summary. 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.
get_portfolio_summary is provided by the Alpaca Trading MCP Server MCP server (laukikk/alpaca-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Alpaca Trading MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
8 Alpaca Trading MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.