AI agents use set_notebook_conf 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.
The tool modifies notebook configuration settings, which is a Write operation—it creates or updates data in a reversible manner. While it affects notebook behavior, it is not destructive (configs can be changed back), not executable code, and not financial. Severity is medium because misconfiguration could disrupt note-taking workflow or expose sensitive settings, but changes are typically reversible.
From the tool's definition Tool name 'set_notebook_conf' and description '保存笔记本配置' (save notebook configuration) indicate modification of notebook settings. This is a reversible configuration change operation, not data deletion or code execution.
Documented attack patterns abuse exactly the kind of access set_notebook_conf 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 set_notebook_conf:
{
"version": "1",
"default": "deny",
"tools": {
"set_notebook_conf": {
"limits": [
{
"counter": "set_notebook_conf_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}set_notebook_conf 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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保存笔记本配置. 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 set_notebook_conf: 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.
set_notebook_conf 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 set_notebook_conf 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 set_notebook_conf. 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.
set_notebook_conf 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.
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52 SiYuan MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.