logout
Revokes the stored token at Google (oauth2.googleapis.com/revoke) and deletes the local credentials file. Tokens supplied via env variables are NOT touched — remove them from the MCP client config manually; envTokenStillSet in the response says whether any are still in effect.
This record as markdown: /tools/a1-x-tech-mcp-google-calendar/logout.md
What logout does on Mcp Google Calendar
AI agents call logout to permanently remove resources in Mcp Google Calendar, 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 Mcp Google Calendar 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 Mcp Google Calendar, 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 Mcp Google Calendar, apply this rule, and every logout call is checked against it from then on.
Questions about logout
Revokes the stored token at Google (oauth2.googleapis.com/revoke) and deletes the local credentials file. Tokens supplied via env variables are NOT touched — remove them from the MCP client config manually; envTokenStillSet in the response says whether any are still in effect. It is categorised as a Destructive tool in the Mcp Google Calendar MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Mcp Google Calendar 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 Mcp Google Calendar. 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 Mcp Google Calendar MCP server (@a1-x-tech/mcp-google-calendar). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Google Calendar, and thousands of servers like it.
Across the catalogue