Leave a channel.
AI agents use leave_channel to create or update resources in Agent Comms — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Comms environment.
Leaving a channel modifies the agent's membership state (removes it from the channel). This is a reversible write operation since the agent can rejoin the channel later. It does not delete the channel or its messages, and has minimal blast radius.
From the tool's definition leave_channel — 'Leave a channel'
Attacks that exploit this kind of access
Leave a channel. It is categorised as a Write tool in the Agent Comms MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Comms MCP server in PolicyLayer and add a rule for leave_channel: 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 Agent Comms. Nothing to install.
leave_channel is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the leave_channel 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 leave_channel. 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.
leave_channel is provided by the Agent Comms MCP server (mavericky007/agent-comms-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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