Clears the cached authentication identity from the current MCP session. Use this when the user wants to end the session or switch accounts. This does not revoke the underlying JWT token — it only removes the session-local cache. After logout, protected tools will require re-authentication. Return...
Part of the agentView server.
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AI agents may call logout to permanently remove or destroy resources in agentView. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call logout in a loop, permanently destroying resources in agentView. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"logout"
]
}See the full agentView policy for all 81 tools.
These attack patterns abuse exactly the kind of access logout gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Clears the cached authentication identity from the current MCP session. Use this when the user wants to end the session or switch accounts. This does not revoke the underlying JWT token — it only removes the session-local cache. After logout, protected tools will require re-authentication. Returns loggedOut (boolean) and sessionBound (boolean).. 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.
Deterministic rules across all 81 agentView tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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