AI agents call get_recommended_themes 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 market theme recommendations and sector information from a financial data API without creating, modifying, deleting, or executing any operations. It is a passive data query operation comparable to other sibling tools on the server that fetch market data. No side effects or state changes occur.
From the tool's definition Tool name 'get_recommended_themes' and description '获取推荐主题（今日关注、风口板块、潜伏日历）' (Get recommended themes - today's focus, trending sectors, latent calendar) both indicate data retrieval operations.
Attacks that exploit this kind of access
获取推荐主题（今日关注、风口板块、潜伏日历）. 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 get_recommended_themes: 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.
get_recommended_themes 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_recommended_themes 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_recommended_themes. 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_recommended_themes 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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