logout
Clears the cached login from this MCP session (does not revoke the underlying token). Use when the user wants to sign out or switch accounts.
This record as markdown: /tools/de-agentview-agentview-mcp/logout.md
What logout does on agentView
AI agents call logout to permanently remove resources in agentView, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why logout is rated Critical
An AI agent that decides to call logout doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from agentView is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs logout safely
PolicyLayer is an MCP gateway: it sits between your AI agents and agentView, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For logout, this is the rule to start with:
logout is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect agentView, apply this rule, and every logout call is checked against it from then on.
Questions about logout
Clears the cached login from this MCP session (does not revoke the underlying token). Use when the user wants to sign out or switch accounts. It is categorised as a Destructive tool in the agentView MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the agentView 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 agentView. 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 agentView MCP server (https://agentview.de/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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