AI agents call xhs_list_queue_posts to retrieve information from XHS-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries scheduled posts from a queue without modifying, deleting, or executing any actions. It is a pure data retrieval operation with no side effects, fitting the 'Read' category.
From the tool's definition Tool name contains 'list' and description states '读取已经写好的，准备发布的笔记列表' (read a list of written notes prepared for publishing). The verb '读取' explicitly means 'read/retrieve' with no modification or deletion.
Attacks that exploit this kind of access
读取已经写好的，准备发布的笔记列表. It is categorised as a Read tool in the XHS-MCP MCP Server, which means it retrieves data without modifying state.
Register the XHS- MCP server in PolicyLayer and add a rule for xhs_list_queue_posts: 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-MCP. Nothing to install.
xhs_list_queue_posts 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 xhs_list_queue_posts 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 xhs_list_queue_posts. 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.
xhs_list_queue_posts is provided by the XHS- MCP server (lastkimi/xhs-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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