Access full historical end-of-day prices for stock indexes using the Detailed Historical Price Data API. This API provides comprehensive information, including open, high, low, close prices, volume, and additional metrics for detailed financial analysis.
AI agents call getHistoricalIndexFullChart 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 financial data (prices, volume, metrics) without creating, modifying, deleting, or executing any operations. It is a pure read operation that queries historical index information for analytical purposes, presenting minimal risk of misuse by an AI agent.
From the tool's definition Tool name 'getHistoricalIndexFullChart' and description 'Access full historical end-of-day prices' with 'open, high, low, close prices, volume, and additional metrics' indicates data retrieval with no modification or execution of operations.
Attacks that exploit this kind of access
Access full historical end-of-day prices for stock indexes using the Detailed Historical Price Data API. This API provides comprehensive information, including open, high, low, close prices, volume, and additional metrics for detailed financial analysis. 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 getHistoricalIndexFullChart: 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.
getHistoricalIndexFullChart 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 getHistoricalIndexFullChart 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 getHistoricalIndexFullChart. 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.
getHistoricalIndexFullChart 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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