CNN Fear & Greed Index — 미국 시장 심리 (0=공포, 100=탐욕).
AI agents call get_cnn_fear_greed to retrieve information from Yummy Research without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries publicly available market sentiment data without side effects. It performs a simple data lookup operation, making it a Read category tool with low severity since misuse would only result in the agent obtaining market sentiment information, which is publicly available and causes no harm or system impact.
From the tool's definition Tool name 'get_cnn_fear_greed' and description indicate retrieval of market sentiment index data. The description explicitly states it retrieves the 'CNN Fear & Greed Index' (a publicly available market indicator ranging 0-100), with no mention of data…
Attacks that exploit this kind of access
CNN Fear & Greed Index — 미국 시장 심리 (0=공포, 100=탐욕). It is categorised as a Read tool in the Yummy Research MCP Server, which means it retrieves data without modifying state.
Register the Yummy Research MCP server in PolicyLayer and add a rule for get_cnn_fear_greed: 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 Yummy Research. Nothing to install.
get_cnn_fear_greed 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 get_cnn_fear_greed 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 get_cnn_fear_greed. 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.
get_cnn_fear_greed is provided by the Yummy Research MCP server (yeom/yummy-research-mcp). 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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