Quarterly balance sheet data.
AI agents call get_balance_data 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 retrieves historical financial data (balance sheets) from the A-Share stock market database. It performs no modifications, deletions, or external operations. The data retrieved is non-sensitive market information already publicly available. Misuse would result in information disclosure only, with minimal blast radius. Therefore, it is classified as Read with low severity.
From the tool's definition Tool name 'get_balance_data' and description 'Quarterly balance sheet data' indicate a data retrieval operation. The verb 'get' and the nature of balance sheet data (historical financial statements) confirm this is a read-only query with no side effects.
Documented attack patterns abuse exactly the kind of access get_balance_data gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and A Share, and nothing reaches the server without passing your rules. This is the rule we recommend for get_balance_data:
{
"version": "1",
"default": "deny",
"tools": {
"get_balance_data": {}
}
} get_balance_data is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Quarterly balance sheet data. 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_balance_data: 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_balance_data 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_balance_data 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_balance_data. 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_balance_data is provided by the A Share MCP server (shouldnotappearcalm/a-share-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from A Share, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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55 A Share tools catalogued and risk-classified — across an index of 43,000+ MCP servers.