AI agents call get_market_emotion to retrieve information from Stock Analysis 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 market emotion indicators—quantitative data about market sentiment. It performs no writes, deletions, code execution, or financial transactions. The action is purely informational retrieval (get/fetch), characteristic of Read category tools. Severity is low because misuse would only result in accessing potentially stale or irrelevant market data without operational consequences.
From the tool's definition Tool name 'get_market_emotion' and description '获取市场情绪指标' (retrieve market emotion indicators) indicate data retrieval with no modification or execution capabilities. It fetches pre-computed sentiment/emotion metrics about the market.
Documented attack patterns abuse exactly the kind of access get_market_emotion gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Stock Analysis MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_market_emotion:
{
"version": "1",
"default": "deny",
"tools": {
"get_market_emotion": {}
}
}get_market_emotion is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取市场情绪指标. It is categorised as a Read tool in the Stock Analysis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Stock Analysis MCP Server MCP server in PolicyLayer and add a rule for get_market_emotion: 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 Stock Analysis MCP Server. Nothing to install.
get_market_emotion 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_market_emotion 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_market_emotion. 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_market_emotion is provided by the Stock Analysis MCP Server MCP server (parsedark/mcp_stock). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Stock Analysis MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Stock Analysis MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.