生成笔记的公开分享链接。幂等接口，多次调用返回同一个 share_url。需要 note.content.read scope。
AI agents use share_note to create or update resources in GetNote MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GetNote MCP Server environment.
This tool creates a public share URL for a note, which is a write/create action that changes the sharing state of a note by making it publicly accessible. While idempotent (repeated calls return the same URL), the first call modifies the note's visibility. It does not delete data, execute code, or move money. Severity is medium because sharing a private note publicly could expose sensitive information.
From the tool's definition 生成笔记的公开分享链接 (generates a public sharing link for a note)
Documented attack patterns abuse exactly the kind of access share_note gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GetNote MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for share_note:
{
"version": "1",
"default": "deny",
"tools": {
"share_note": {
"limits": [
{
"counter": "share_note_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}share_note 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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生成笔记的公开分享链接。幂等接口，多次调用返回同一个 share_url。需要 note.content.read scope。. It is categorised as a Write tool in the GetNote MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GetNote MCP Server MCP server in PolicyLayer and add a rule for share_note: 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 GetNote MCP Server. Nothing to install.
share_note 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 share_note 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 share_note. 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.
share_note is provided by the GetNote MCP Server MCP server (iswalle/getnote-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GetNote MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
26 GetNote MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.