AI agents call list_feeds to retrieve information from Xhs Kit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns feed recommendations from the home page. It performs a read-only operation with no side effects, no code execution, no data modification, and no financial implications. The blast radius of misuse is minimal—an agent could only retrieve feed data that would be accessible through normal browsing.
From the tool's definition Tool name 'list_feeds' with description '获取首页推荐列表' (get home page recommendation list) retrieves feed data without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
获取首页推荐列表. It is categorised as a Read tool in the Xhs Kit MCP Server, which means it retrieves data without modifying state.
Register the Xhs Kit MCP server in PolicyLayer and add a rule for list_feeds: 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 Xhs Kit. Nothing to install.
list_feeds 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 list_feeds 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 list_feeds. 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.
list_feeds is provided by the Xhs Kit MCP server (luweizheng/xhs-kit). 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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