import_opml_tool · MCP Feed Reader MCP: Risk & Policy

WHAT IT DOES

What import_opml_tool does on MCP Feed Reader

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

WHY IT NEEDS A POLICY

Why import_opml_tool needs a policy

This tool performs data creation/modification operations (adding feeds and categories to the database) based on an external OPML file. While it modifies state, it is reversible—imported feeds and categories can be deleted using delete_feed_tool and delete_category_tool. It does not delete data irreversibly, execute arbitrary code, or move money, making it a Write-category risk.

From the tool's definition Tool description states 'Import feeds from an OPML file, creating categories from outline groups.' The verb 'import' combined with 'creating categories' indicates the tool creates new data in the feed reader application.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

import_opml_tool Rate-limited

import_opml_tool 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": {
    "import_opml_tool": {
      "limits": [
        {
          "counter": "import_opml_tool_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 MCP Feed Reader, so you can run agents against it safely.

FAQ

Questions about import_opml_tool

What does the import_opml_tool tool do? +

Import feeds from an OPML file, creating categories from outline groups. It is categorised as a Write tool in the MCP Feed Reader MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on import_opml_tool? +

Register the MCP Feed Reader MCP server in PolicyLayer and add a rule for import_opml_tool: 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 MCP Feed Reader. Nothing to install.

What risk level is import_opml_tool? +

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

Can I rate-limit import_opml_tool? +

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

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

import_opml_tool is provided by the MCP Feed Reader MCP server (pypi:mcp-feed-reader-crunchtools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.