start_login
First step of connecting from the chat, without editing config files or restarting the client. Returns authorizeUrl — show it to the user as a clickable link and ask them to open it in the browser ON THIS MACHINE, pick the Google account and approve access. A one-shot listener on 127.0.0.1 catche...
This record as markdown: /tools/a1-x-tech-mcp-google-docs/start-login.md
What start_login does on Mcp Google Docs
AI agents invoke start_login to trigger actions in Mcp Google Docs. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why start_login is rated High
start_login triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs start_login safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Google Docs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_login, this is the rule to start with:
start_login stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Google Docs, apply this rule, and every start_login call is checked against it from then on.
Questions about start_login
First step of connecting from the chat, without editing config files or restarting the client. Returns authorizeUrl — show it to the user as a clickable link and ask them to open it in the browser ON THIS MACHINE, pick the Google account and approve access. A one-shot listener on 127.0.0.1 catches Google's redirect; the code is exchanged locally and never passes through the chat. Does not open the browser itself. The attempt lives 10 minutes; when the browser shows the success page, call finish_login. It is categorised as a Execute tool in the Mcp Google Docs MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Google Docs MCP server in PolicyLayer and add a rule for start_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 Docs. Nothing to install.
start_login is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_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.
Set action: deny in the PolicyLayer policy for start_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.
start_login is provided by the Mcp Google Docs MCP server (@a1-x-tech/mcp-google-docs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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