crow_wallabag_get

THE RISK

Low Risk

Why crow_wallabag_get needs a policy

This tool retrieves existing data (article content and metadata) from a read-it-later service without creating, modifying, or destroying data. The action is purely informational with no side effects, fitting the 'Read' category. Severity is low as misuse would only expose stored articles to the AI agent without broader system impact.

From the tool's definition Tool name 'crow_wallabag_get' and description 'Get the full content and metadata of a saved article' indicate data retrieval with no modification or deletion.

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

POLICY

How to control crow_wallabag_get

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_wallabag_get": {}
  }
}

crow_wallabag_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about crow_wallabag_get

What does the crow_wallabag_get tool do? +

Get the full content and metadata of a saved article. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crow_wallabag_get? +

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

What risk level is crow_wallabag_get? +

crow_wallabag_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit crow_wallabag_get? +

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

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

crow_wallabag_get is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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