Fetch analyst consensus ratings and price targets.
AI agents call analyst_ratings to retrieve information from Financial Research Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves publicly available analyst consensus data and price targets. It performs a read-only query operation with no side effects, no code execution, and no financial transactions. While the data relates to financial markets, the tool itself does not move money, execute trades, or commit financial obligations—it only surfaces analyst opinions that would inform investment decisions.
From the tool's definition Tool name is 'analyst_ratings' and description states 'Fetch analyst consensus ratings and price targets.' The verb 'fetch' indicates data retrieval with no modification or execution of external operations.
Attacks that exploit this kind of access
Fetch analyst consensus ratings and price targets. It is categorised as a Read tool in the Financial Research Agent MCP Server, which means it retrieves data without modifying state.
Register the Financial Research Agent MCP server in PolicyLayer and add a rule for analyst_ratings: 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 Research Agent. Nothing to install.
analyst_ratings 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 analyst_ratings 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 analyst_ratings. 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.
analyst_ratings is provided by the Financial Research Agent MCP server (rahul-jajala/ai-financial-research-agent). 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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