get_positions
A read tool on the Alpaca MCP server.
This record as markdown: /tools/cliffsgpt-alpaca-mcp-clone/get-positions.md
What get_positions does on Alpaca MCP Server
AI agents call get_positions to retrieve information from Alpaca MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_positions is rated Low
'get_positions' retrieves portfolio position data without modifying state. This is a Read operation. Severity is medium rather than low because position data could inform financial decisions, and access to detailed portfolio information on a trading platform carries moderate sensitivity. Confidence is 0.85 (not higher) due to empty description—inferred from naming convention and context of financial trading server.
From the tool's definition Tool name 'get_positions' with no description provided; sibling tools on Alpaca trading server include destructive and financial operations (cancel_orders, close_positions, exercise_options). The 'get_' prefix and naming convention indicate data retrieval.
Attacks that exploit this kind of access
The rule that runs get_positions 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 get_positions, this is the rule to start with:
get_positions is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Alpaca MCP Server, apply this rule, and every get_positions call is checked against it from then on.
Questions about get_positions
get_positions is a read tool on the Alpaca MCP Server MCP server. It is categorised as a Read tool in the Alpaca MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Alpaca MCP Server MCP server in PolicyLayer and add a rule for get_positions: 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.
get_positions 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_positions 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_positions. 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_positions 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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