Remove a saved connection.
AI agents call logout to permanently remove resources in A2atlassian — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a saved connection is an irreversible destructive action: the stored credentials/connection configuration are deleted. While not as catastrophic as dropping a database, it cannot be undone without re-authenticating, and misuse by an AI agent could break all downstream Jira/Confluence access for that connection.
From the tool's definition "Remove a saved connection" — permanently deletes a stored credential/connection entry
Attacks that exploit this kind of access
Remove a saved connection. It is categorised as a Destructive tool in the A2atlassian MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the A2atlassian 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 A2atlassian. 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 A2atlassian MCP server (yoselabs/a2atlassian). 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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