AI agents call get_latest_trading_date to retrieve information from A Share without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves calendar/date information about when the stock market is open. It performs no modification, deletion, execution of code, financial transactions, or irreversible actions. It is a straightforward query that returns read-only data used for context about market hours.
From the tool's definition Tool name 'get_latest_trading_date' and description '获取最近的交易日期。如果当天是交易日，则返回当天日期；否则返回最近的交易日' (Get the latest trading date.
Attacks that exploit this kind of access
获取最近的交易日期。如果当天是交易日，则返回当天日期；否则返回最近的交易日。. It is categorised as a Read tool in the A Share MCP Server, which means it retrieves data without modifying state.
Register the A Share MCP server in PolicyLayer and add a rule for get_latest_trading_date: 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 A Share. Nothing to install.
get_latest_trading_date 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_latest_trading_date 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_latest_trading_date. 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_latest_trading_date is provided by the A Share MCP server (kissjerryfan/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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