getHistoricalRatings

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.

SERVERFinancial Modeling Prep MCP Server SOURCEfinancial-modeling-prep-mcp-server
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-imbenrabi-financial-modeling-prep-mcp-server/gethistoricalratings.md

What getHistoricalRatings does on Financial Modeling Prep MCP Server

AI agents call getHistoricalRatings to retrieve information from Financial Modeling Prep MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why getHistoricalRatings is rated Low

This tool retrieves historical financial ratings and metrics for analysis purposes. It is a pure data retrieval operation with no side effects, no execution of external operations, no data modification, and no financial transactions. It fits the Read category as it queries and returns financial performance data without altering any state.

From the tool's definition Tool description explicitly states it "provides access to historical financial ratings" and allows users to "view ratings and key financial metric scores for specific dates." The verb "view" and the read-only nature of accessing historical data confirms no…

Questions about getHistoricalRatings

What does the getHistoricalRatings tool do? +

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.

How do I enforce a policy on getHistoricalRatings? +

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.

What risk level is getHistoricalRatings? +

getHistoricalRatings is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit getHistoricalRatings? +

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.

How do I block getHistoricalRatings completely? +

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.

What MCP server provides getHistoricalRatings? +

getHistoricalRatings is provided by the Financial Modeling Prep MCP Server MCP server (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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