crow_glasses_end_note_session

THE RISK

High Risk

Why crow_glasses_end_note_session needs a policy

This tool ends a session and then triggers external AI provider operations (summarization and action-item extraction), which constitutes executing an external operation. It also likely writes/modifies data by prepending content to a note. The most severe applicable category is Execute due to the triggered external AI operations.

From the tool's definition 'Runs summarization + action-item extraction via the configured AI provider' — triggers external AI processing operations

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

POLICY

How to control crow_glasses_end_note_session

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_glasses_end_note_session:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_glasses_end_note_session": {
      "limits": [
        {
          "counter": "crow_glasses_end_note_session_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

crow_glasses_end_note_session stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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FAQ

Questions about crow_glasses_end_note_session

What does the crow_glasses_end_note_session tool do? +

End a glasses note session. Runs summarization + action-item extraction via the configured AI provider, prepends a. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on crow_glasses_end_note_session? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_glasses_end_note_session: 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_glasses_end_note_session? +

crow_glasses_end_note_session is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit crow_glasses_end_note_session? +

Yes. Add a rate_limit block to the crow_glasses_end_note_session 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_glasses_end_note_session completely? +

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

crow_glasses_end_note_session 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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