Stay informed on upcoming and past earnings announcements with the FMP Earnings Calendar API. Access key data, including announcement dates, estimated earnings per share (EPS), and actual EPS for publicly traded companies.
AI agents call getEarningsCalendar 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 queries financial calendar data and returns read-only information about earnings announcements. It has no side effects, does not modify data, and poses minimal risk if accessed by an AI agent. The data is publicly available market information. Classification as Read with low severity is appropriate.
From the tool's definition Tool name 'getEarningsCalendar' and description explicitly retrieves 'upcoming and past earnings announcements' and 'Access key data' including dates and EPS figures.
Attacks that exploit this kind of access
Stay informed on upcoming and past earnings announcements with the FMP Earnings Calendar API. Access key data, including announcement dates, estimated earnings per share (EPS), and actual EPS for publicly traded companies. 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 getEarningsCalendar: 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.
getEarningsCalendar 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 getEarningsCalendar 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 getEarningsCalendar. 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.
getEarningsCalendar 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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