appflowy_favorite_page · AppFlowy MCP: Risk & Policy

WHAT IT DOES

What appflowy_favorite_page does on AppFlowy MCP

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

WHY IT NEEDS A POLICY

Why appflowy_favorite_page needs a policy

This tool modifies page properties (favorite/pin status) but does not create, delete, or permanently alter page content or structure. All operations are fully reversible (favoriting can be undone by unfavoriting, pinning by unpinning). The blast radius is minimal—misuse would only affect page organization/visibility preferences for the user, not data integrity or critical functionality.

From the tool's definition Tool description explicitly states 'Favorite, unfavorite, pin, or unpin a page' — these are reversible metadata modifications to page state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

appflowy_favorite_page Rate-limited

appflowy_favorite_page 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "appflowy_favorite_page": {
      "limits": [
        {
          "counter": "appflowy_favorite_page_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AppFlowy MCP, so you can run agents against it safely.

FAQ

Questions about appflowy_favorite_page

What does the appflowy_favorite_page tool do? +

Favorite, unfavorite, pin, or unpin a page. It is categorised as a Write tool in the AppFlowy MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on appflowy_favorite_page? +

Register the AppFlowy MCP server in PolicyLayer and add a rule for appflowy_favorite_page: 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 AppFlowy MCP. Nothing to install.

What risk level is appflowy_favorite_page? +

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

Can I rate-limit appflowy_favorite_page? +

Yes. Add a rate_limit block to the appflowy_favorite_page 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 appflowy_favorite_page completely? +

Set action: deny in the PolicyLayer policy for appflowy_favorite_page. 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 appflowy_favorite_page? +

appflowy_favorite_page is provided by the AppFlowy MCP server (weironz/appflowy_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.