Retrieve comprehensive compensation data for company executives with the FMP Executive Compensation API. This API provides detailed information on salaries, stock awards, total compensation, and other relevant financial data, including filing details and links to official documents.
AI agents call getExecutiveCompensation 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 executive compensation information from SEC filings and company documents—a pure read operation with no side effects, data modification, code execution, or financial transaction capability. The data retrieved is already public information from regulatory filings.
From the tool's definition Tool name 'getExecutiveCompensation' and description 'Retrieve comprehensive compensation data' indicates data retrieval with no modification or execution.
Attacks that exploit this kind of access
Retrieve comprehensive compensation data for company executives with the FMP Executive Compensation API. This API provides detailed information on salaries, stock awards, total compensation, and other relevant financial data, including filing details and links to official documents. 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 getExecutiveCompensation: 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.
getExecutiveCompensation 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 getExecutiveCompensation 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 getExecutiveCompensation. 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.
getExecutiveCompensation 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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