get_bot_status

THE RISK

Low Risk

Why get_bot_status needs a policy

This tool retrieves information about an existing bot's state without creating, modifying, deleting, or executing any operations. It is a read-only query that has no blast radius if misused by an AI agent—at worst, it leaks information about bot status that may already be accessible through other means.

From the tool's definition Tool name 'get_bot_status' and description 'Get the current status of a meeting bot' indicate a retrieval operation with no side effects. This is a simple status query.

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

POLICY

How to control get_bot_status

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

policy.json

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

get_bot_status 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 Attendee MCP Server — 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 →

Free to start. No card required.

EXPLORE

Related tools and policies

More Attendee MCP Server tools

Destructive delete_bot_data Delete all data associated with a bot (recordings, transcripts, etc.) Destructive remove_meeting_bot Remove a bot from a meeting Execute create_meeting_bot Create a bot to join a meeting and record/transcribe it Execute make_bot_speak Make a bot speak text during a meeting using text-to-speech Execute send_video_to_meeting Send a video to the meeting through the bot (Google Meet only) Write send_chat_message Send a chat message from the bot to the meeting Write send_image_to_meeting Send an image to the meeting through the bot (Google Meet only) Read get_chat_messages Get chat messages from the meeting

All 11 Attendee MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

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 get_bot_status

What does the get_bot_status tool do? +

Get the current status of a meeting bot. It is categorised as a Read tool in the Attendee MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_bot_status? +

Register the Attendee MCP Server MCP server in PolicyLayer and add a rule for get_bot_status: 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 Attendee MCP Server. Nothing to install.

What risk level is get_bot_status? +

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

Can I rate-limit get_bot_status? +

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

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

get_bot_status is provided by the Attendee MCP Server MCP server (rexposadas/attendee-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Attendee MCP Server tool call.

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

CHECK YOUR STACK →