AI agents call get_chat_messages to retrieve information from Attendee MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing chat messages from a meeting. It performs a read-only operation that does not create, modify, delete, or execute any actions. The worst-case misuse would be unauthorized access to meeting chat content, which has limited blast radius compared to tools that can delete data, execute code, or manipulate meeting state (such as the sibling tools 'remove_meeting_bot',…
From the tool's definition Tool name 'get_chat_messages' and description 'Get chat messages from the meeting' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_chat_messages gives an agent:
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_chat_messages:
{
"version": "1",
"default": "deny",
"tools": {
"get_chat_messages": {}
}
} get_chat_messages is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get chat messages from the meeting. It is categorised as a Read tool in the Attendee MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Attendee MCP Server MCP server in PolicyLayer and add a rule for get_chat_messages: 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.
get_chat_messages is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_chat_messages 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.
Set action: deny in the PolicyLayer policy for get_chat_messages. 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.
get_chat_messages 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.
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.
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11 Attendee MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.