Track changes in financial performance over time with the FMP Historical Ratings API. This API provides access to historical financial ratings for stock symbols in our database, allowing users to view ratings and key financial metric scores for specific dates.
AI agents call getHistoricalRatings 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 displays historical financial ratings data for analysis purposes. It performs a query operation that returns information without side effects, modification of data, or execution of external operations.
From the tool's definition Tool name 'getHistoricalRatings' and description 'provides access to historical financial ratings' and 'allowing users to view ratings and key financial metric scores' indicate data retrieval with no modification, deletion, or execution of operations.
Attacks that exploit this kind of access
Track changes in financial performance over time with the FMP Historical Ratings API. This API provides access to historical financial ratings for stock symbols in our database, allowing users to view ratings and key financial metric scores for specific dates. 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 getHistoricalRatings: 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.
getHistoricalRatings 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 getHistoricalRatings 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 getHistoricalRatings. 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.
getHistoricalRatings 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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