Medium Risk

export_to_notion_full

导出完整的 Notion 元数据(论文库 + 单篇综述 + 综合综述)

How to control export_to_notion_full ↓

What export_to_notion_full does on Literature Review MCP Server

AI agents use export_to_notion_full to create or update resources in Literature Review MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Literature Review MCP Server environment.

Medium Risk

Why export_to_notion_full needs a policy

This tool exports research data to Notion, which constitutes creation or modification of structured data in an external service. While reversible (exported data can be deleted or modified in Notion), it performs a Write operation that persists data to an external platform.

From the tool's definition Tool name 'export_to_notion_full' and description indicating export of complete Notion metadata (paper database + individual reviews + unified reviews) — creates or modifies data in an external system (Notion workspace) via API integration.

Documented attack patterns abuse exactly the kind of access export_to_notion_full gives an agent:

How to control export_to_notion_full

PolicyLayer is an MCP gateway — it sits between your AI agents and Literature Review MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for export_to_notion_full:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "export_to_notion_full": {
      "limits": [
        {
          "counter": "export_to_notion_full_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

export_to_notion_full 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.

  1. Create a free account and register Literature Review MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about export_to_notion_full

What does the export_to_notion_full tool do? +

导出完整的 Notion 元数据(论文库 + 单篇综述 + 综合综述). It is categorised as a Write tool in the Literature Review MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on export_to_notion_full? +

Register the Literature Review MCP Server MCP server in PolicyLayer and add a rule for export_to_notion_full: 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 Literature Review MCP Server. Nothing to install.

What risk level is export_to_notion_full? +

export_to_notion_full is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit export_to_notion_full? +

Yes. Add a rate_limit block to the export_to_notion_full 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.

How do I block export_to_notion_full completely? +

Set action: deny in the PolicyLayer policy for export_to_notion_full. 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.

What MCP server provides export_to_notion_full? +

export_to_notion_full is provided by the Literature Review MCP Server MCP server (ydzat/literature-review-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Literature Review MCP Server tool call.

Start from Literature Review 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.

16 Literature Review MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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