点赞/取消点赞小红书笔记
AI agents use xhs_like to create or update resources in Xiaohongshu — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Xiaohongshu environment.
This tool creates or modifies data reversibly—liking and unliking are both user engagement actions that can be toggled and undone without destroying data. It does not delete content, execute arbitrary code, or commit financial transactions. It fits the Write category as a reversible modification of state (like status).
From the tool's definition Tool name 'xhs_like' and description '点赞/取消点赞小红书笔记' (like/unlike Xiaohongshu notes) indicates it modifies user engagement state by adding or removing a like action.
Attacks that exploit this kind of access
点赞/取消点赞小红书笔记. It is categorised as a Write tool in the Xiaohongshu MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Xiaohongshu MCP server in PolicyLayer and add a rule for xhs_like: 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 Xiaohongshu. Nothing to install.
xhs_like is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the xhs_like 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_like. 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_like is provided by the Xiaohongshu MCP server (lozzi1910/xiaohongshu-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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