This record as markdown: /tools/1uokun-xiaohongshu-mcp-js/check-login-status.md
What check_login_status does on XiaoHongShu MCP
AI agents call check_login_status to retrieve information from XiaoHongShu MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why check_login_status is rated Low
This tool retrieves the current login status of a user account without creating, modifying, deleting, or executing any operations. It is a pure read operation that returns state information. The low severity reflects minimal blast radius—an agent checking login status cannot cause harm even with misuse.
From the tool's definition Tool name 'check_login_status' and description '检查小红书登录状态' (check XiaoHongShu login status) indicates querying authentication state with no side effects or data modification.
Attacks that exploit this kind of access
The rule that runs check_login_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and XiaoHongShu MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For check_login_status, this is the rule to start with:
check_login_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect XiaoHongShu MCP, apply this rule, and every check_login_status call is checked against it from then on.
Questions about check_login_status
检查小红书登录状态. It is categorised as a Read tool in the XiaoHongShu MCP MCP Server, which means it retrieves data without modifying state.
Register the XiaoHongShu MCP server in PolicyLayer and add a rule for check_login_status: 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 MCP. Nothing to install.
check_login_status 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 check_login_status 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 check_login_status. 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.
check_login_status is provided by the XiaoHongShu MCP server (1uokun/xiaohongshu-mcp-js). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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