AI agents use close_notebook to create or update resources in SiYuan MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SiYuan MCP Server environment.
Closing a notebook is a write-like operation that changes the application state (the notebook transitions from open to closed), but the action is reversible—the notebook can be reopened. It does not delete data, execute arbitrary code, or cause financial transactions. It is less severe than destructive operations but represents a state modification that could disrupt workflows if triggered unexpectedly.
From the tool's definition Tool name: close_notebook; description translates to 'Close specified notebook'. This modifies the state of a notebook by closing it, which is a reversible operation.
Documented attack patterns abuse exactly the kind of access close_notebook gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SiYuan MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for close_notebook:
{
"version": "1",
"default": "deny",
"tools": {
"close_notebook": {
"limits": [
{
"counter": "close_notebook_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}close_notebook 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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关闭指定笔记本. It is categorised as a Write tool in the SiYuan MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the SiYuan MCP Server MCP server in PolicyLayer and add a rule for close_notebook: 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 SiYuan MCP Server. Nothing to install.
close_notebook 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 close_notebook 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 close_notebook. 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.
close_notebook is provided by the SiYuan MCP Server MCP server (xgq18237/siyuan_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 52 SiYuan MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
52 SiYuan MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.