Create a project and save the Xiaohongshu content outline generated by Claude. Use the built-in prompt to generate outlines with proper formatting.
AI agents use generate_outline to create or update resources in Xiaohongshu (RedBook) MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Xiaohongshu (RedBook) MCP Server environment.
This tool creates new social media content outlines and persists them in a project system. While reversible (typical write operations can be undone via delete), it modifies the state of the underlying system by adding new content assets.
From the tool's definition Tool description states "Create a project and save the Xiaohongshu content outline" — the verbs "Create" and "save" indicate persistent data creation/modification rather than retrieval.
Documented attack patterns abuse exactly the kind of access generate_outline gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Xiaohongshu (RedBook) MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_outline:
{
"version": "1",
"default": "deny",
"tools": {
"generate_outline": {
"limits": [
{
"counter": "generate_outline_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}generate_outline stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a project and save the Xiaohongshu content outline generated by Claude. Use the built-in prompt to generate outlines with proper formatting. It is categorised as a Write tool in the Xiaohongshu (RedBook) MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Xiaohongshu (RedBook) MCP Server MCP server in PolicyLayer and add a rule for generate_outline: 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 (RedBook) MCP Server. Nothing to install.
generate_outline 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 generate_outline 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 generate_outline. 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.
generate_outline is provided by the Xiaohongshu (RedBook) MCP Server MCP server (xeron2000/redbookmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Xiaohongshu (RedBook) MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Xiaohongshu (RedBook) MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.