Access a comprehensive record of analyst grades with the FMP Historical Grades API. This tool allows you to track historical changes in analyst ratings for specific stock symbols.
AI agents call getHistoricalStockGrades 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 historical analyst grade data for stocks without creating, modifying, deleting, or executing any operations. It is a passive query operation that returns financial market data. The low severity reflects minimal blast radius—misuse would only expose or analyze existing public financial information, not modify positions, execute trades, or cause irreversible changes.
From the tool's definition Tool name 'getHistoricalStockGrades' and description 'track historical changes in analyst ratings' indicate data retrieval with no modification or execution. The verb 'Access' and 'track' (passive observation) confirm read-only functionality.
Attacks that exploit this kind of access
Access a comprehensive record of analyst grades with the FMP Historical Grades API. This tool allows you to track historical changes in analyst ratings for specific stock symbols. 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 getHistoricalStockGrades: 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.
getHistoricalStockGrades 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 getHistoricalStockGrades 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 getHistoricalStockGrades. 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.
getHistoricalStockGrades 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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