AI agents call search_news to retrieve information from Sfc Data without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries financial news data based on keywords without modifying, deleting, or executing any operations. It is a pure read operation with no side effects, making it a 'Read' category tool with low severity risk. The confidence is high because the function name and description clearly indicate a search capability.
From the tool's definition Tool name 'search_news' and description '搜索资讯（按关键词搜索财经新闻）' meaning 'search news (search financial news by keyword)' indicates a search/query operation that retrieves financial news data.
Attacks that exploit this kind of access
搜索资讯（按关键词搜索财经新闻）. It is categorised as a Read tool in the Sfc Data MCP Server, which means it retrieves data without modifying state.
Register the Sfc Data MCP server in PolicyLayer and add a rule for search_news: 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 Sfc Data. Nothing to install.
search_news 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 search_news 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 search_news. 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.
search_news is provided by the Sfc Data MCP server (yangxinagfeng123/sfc-data-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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