mark_email_read

Mark an email as read

Server Gmail Drive smitpatel-31/gmail-drive-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What mark_email_read does on Gmail Drive

AI agents use mark_email_read to create or update resources in Gmail Drive — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gmail Drive environment.

Why mark_email_read needs a policy

An AI agent can call mark_email_read faster than any human can review — one bad instruction and it creates or modifies resources in Gmail Drive by the hundred, each call as confident as the last.

Questions about mark_email_read

What does the mark_email_read tool do? +

Mark an email as read. It is categorised as a Write tool in the Gmail Drive MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mark_email_read? +

Register the Gmail Drive MCP server in PolicyLayer and add a rule for mark_email_read: 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 Gmail Drive. Nothing to install.

What risk level is mark_email_read? +

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

Can I rate-limit mark_email_read? +

Yes. Add a rate_limit block to the mark_email_read 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 mark_email_read completely? +

Set action: deny in the PolicyLayer policy for mark_email_read. 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 mark_email_read? +

mark_email_read is provided by the Gmail Drive MCP server (smitpatel-31/gmail-drive-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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