Search notes on Xiaohongshu (Little Red Book). Returns titles, engagement metrics (likes/collects/comments), author info, and direct URLs. Useful for market research, trend analysis, and competitor monitoring on China
AI agents call xhs_search to retrieve information from Xhs 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 data from Xiaohongshu without side effects. It returns search results, metadata, and engagement metrics—classic read operations. No data creation, modification, deletion, or code execution is involved. The read-only nature of the server and the passive search functionality place this squarely in the Read category with low severity.
From the tool's definition Tool description explicitly states 'Search notes' and 'Returns titles, engagement metrics, author info, and direct URLs' with no mention of modification, deletion, or execution capabilities. Server description confirms 'read-only access' to Xiaohongshu data.
Attacks that exploit this kind of access
Search notes on Xiaohongshu (Little Red Book). Returns titles, engagement metrics (likes/collects/comments), author info, and direct URLs. Useful for market research, trend analysis, and competitor monitoring on China. It is categorised as a Read tool in the Xhs MCP Server, which means it retrieves data without modifying state.
Register the Xhs MCP server in PolicyLayer and add a rule for xhs_search: 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. Nothing to install.
xhs_search 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_search 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_search. 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_search is provided by the Xhs MCP server (xyj2570/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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