AI agents use gmail_sendEmail to create or update resources in Google MCP Remote — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google MCP Remote environment.
Sending an email is a reversible write operation that creates/sends data. It is not Read (no data retrieval), not Execute in the sense of arbitrary code/commands, not Destructive (emails can be unsent/recalled in some cases, and the operation itself doesn't delete data), and not Financial.
From the tool's definition Tool name is 'gmail_sendEmail' and description states it will 'Send an email to specified recipients' — a direct action that creates a new message object in Gmail.
Documented attack patterns abuse exactly the kind of access gmail_sendEmail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google MCP Remote, and nothing reaches the server without passing your rules. This is the rule we recommend for gmail_sendEmail:
{
"version": "1",
"default": "deny",
"tools": {
"gmail_sendEmail": {
"limits": [
{
"counter": "gmail_sendemail_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}gmail_sendEmail stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Send an email to specified recipients. It is categorised as a Write tool in the Google MCP Remote MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google MCP Remote MCP server in PolicyLayer and add a rule for gmail_sendEmail: 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 Google MCP Remote. Nothing to install.
gmail_sendEmail is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gmail_sendEmail 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 gmail_sendEmail. 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.
gmail_sendEmail is provided by the Google MCP Remote MCP server (vakharwalad23/google-mcp-remote). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google MCP Remote, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
35 Google MCP Remote tools catalogued and risk-classified — across an index of 43,000+ MCP servers.