Remove a saved connection.
AI agents call logout to permanently remove resources in A2db — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Logout removes a saved connection configuration, which is an irreversible deletion of stored credentials/connection data. While it doesn't delete database data itself, it permanently removes the saved connection entry, which could disrupt agent operations if misused. This aligns with Destructive since the removal cannot be undone without re-registering.
From the tool's definition Remove a saved connection
Attacks that exploit this kind of access
Remove a saved connection. It is categorised as a Destructive tool in the A2db MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the A2db MCP server in PolicyLayer and add a rule for logout: 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 A2db. Nothing to install.
logout is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the logout 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 logout. 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.
logout is provided by the A2db MCP server (yoselabs/a2db). 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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