get_asset_info
AI agents call get_asset_info 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.
This tool retrieves information about financial assets (stocks, options, crypto) without modifying state, executing trades, or moving funds. Even in a trading context, asset information lookups are non-destructive reads.
From the tool's definition Tool name 'get_asset_info' indicates data retrieval. The pattern matches sibling tools like 'get_account_info' and 'get_all_assets' on this financial trading server, which are read-only queries.
Attacks that exploit this kind of access
get_asset_info. 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_asset_info: 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_asset_info 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_asset_info 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_asset_info. 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_asset_info 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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