New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

finish_login

Second step: confirms the browser consent finished, saves the tokens to an owner-only file and verifies the login with a read-only identity call, returning the account email and the granted scopes. After success every tool works immediately — no client restart. If the user granted only part of th...

SERVERMcp Google Calendar SOURCE@a1-x-tech/mcp-google-calendar
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/a1-x-tech-mcp-google-calendar/finish-login.md

What finish_login does on Mcp Google Calendar

AI agents use finish_login to create or update resources in Mcp Google Calendar, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Google Calendar environment.

Why finish_login is rated Medium

An AI agent can call finish_login faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Google Calendar by the hundred, each call as confident as the last.

Risk signalsBulk/mass operation — affects multiple targets

Questions about finish_login

What does the finish_login tool do? +

Second step: confirms the browser consent finished, saves the tokens to an owner-only file and verifies the login with a read-only identity call, returning the account email and the granted scopes. After success every tool works immediately — no client restart. If the user granted only part of the requested permissions, the login is still saved and missingScopes lists what will not work. Logging in under a different Google account replaces the previous login (its refresh token is revoked best-effort) and the response carries previousAccountEmail so the change never goes unnoticed. It is categorised as a Write tool in the Mcp Google Calendar MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on finish_login? +

Register the Mcp Google Calendar MCP server in PolicyLayer and add a rule for finish_login: 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.

What risk level is finish_login? +

finish_login is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit finish_login? +

Yes. Add a rate_limit block to the finish_login 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.

How do I block finish_login completely? +

Set action: deny in the PolicyLayer policy for finish_login. 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.

What MCP server provides finish_login? +

finish_login 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

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Mcp Google Calendar's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.