分析股票 Args: symbol: A股股票代码或者指数代码 (股票代码： 000001, 600001, 300001)
AI agents call ashare_analysis to retrieve information from AI-Kline MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and analyzes existing stock data without modifying, deleting, or executing external operations. It is a pure query operation that returns analysis results based on the provided stock symbol. This is a straightforward Read category tool with low severity since misuse would only result in incorrect investment analysis, not data loss or unintended actions.
From the tool's definition Tool name is 'ashare_analysis' with description '分析股票' (analyze stock). It accepts a symbol parameter (stock code or index code) and performs analysis. No modification, deletion, execution of arbitrary code, or financial transactions are indicated.
Documented attack patterns abuse exactly the kind of access ashare_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AI-Kline MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ashare_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"ashare_analysis": {}
}
}ashare_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
分析股票 Args: symbol: A股股票代码或者指数代码 (股票代码： 000001, 600001, 300001). It is categorised as a Read tool in the AI-Kline MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AI-Kline MCP Server MCP server in PolicyLayer and add a rule for ashare_analysis: 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 AI-Kline MCP Server. Nothing to install.
ashare_analysis 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 ashare_analysis 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 ashare_analysis. 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.
ashare_analysis is provided by the AI-Kline MCP Server MCP server (quantmlresearch/ai-kline). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 4 AI-Kline MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4 AI-Kline MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.