AI agents call stock_earnings to retrieve information from Open Stocks MCP 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 publicly available earnings report data for stocks. It performs no modifications, deletions, executions, or financial transactions. The operation is purely informational and has no impact on user accounts, portfolios, or financial positions. Despite the server's broader trading capabilities, this specific tool is a straightforward data retrieval function.
From the tool's definition Tool name 'stock_earnings' and description 'Gets earnings reports for a stock' indicate a retrieval operation with no side effects. The verb 'Gets' and context of fetching historical financial data confirm read-only behavior.
Documented attack patterns abuse exactly the kind of access stock_earnings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Open Stocks MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for stock_earnings:
{
"version": "1",
"default": "deny",
"tools": {
"stock_earnings": {}
}
}stock_earnings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets earnings reports for a stock. It is categorised as a Read tool in the Open Stocks MCP MCP Server, which means it retrieves data without modifying state.
Register the Open Stocks MCP server in PolicyLayer and add a rule for stock_earnings: 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 Open Stocks MCP. Nothing to install.
stock_earnings 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 stock_earnings 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 stock_earnings. 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.
stock_earnings is provided by the Open Stocks MCP server (open-agent-tools/open-stocks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Open Stocks MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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152 Open Stocks MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.