Access the latest financial reports dates for publicly traded companies with the FMP Financial Reports Dates API. Track key financial metrics, including revenue, earnings, and cash flow, to stay informed about a company
AI agents call getFinancialReportsDates to retrieve information from Financial Modeling Prep 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 and queries publicly available financial reporting schedule information for companies. It has no side effects, does not modify data, execute code, delete records, or move money. The function is purely informational—accessing dates of financial reports—making it a Read operation with low severity risk since misuse would only result in retrieving financial timing data that is already public.
From the tool's definition Tool name 'getFinancialReportsDates' and description 'Access the latest financial reports dates' indicates retrieval of metadata about when financial reports are published, with no modification or execution of actions.
Attacks that exploit this kind of access
Access the latest financial reports dates for publicly traded companies with the FMP Financial Reports Dates API. Track key financial metrics, including revenue, earnings, and cash flow, to stay informed about a company. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for getFinancialReportsDates: 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 Financial Modeling Prep MCP Server. Nothing to install.
getFinancialReportsDates 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 getFinancialReportsDates 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 getFinancialReportsDates. 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.
getFinancialReportsDates is provided by the Financial Modeling Prep MCP Server MCP server (vijitdaroch/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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