Send an email through Gmail
AI agents use send_email to create or update resources in Gmail MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gmail MCP Server environment.
Sending emails creates new data and communications that cannot be easily reversed if sent to wrong recipients or with incorrect content. While reversible in some cases (unsend feature in Gmail), it represents a write operation with potential for significant misuse if an AI agent sends emails without proper authorization or to unintended recipients.
From the tool's definition Tool name 'send_email' and description 'Send an email through Gmail' indicate creation of new email messages. The Gmail MCP server description confirms it 'Supports reading, sending, searching emails' — sending is explicitly listed as a primary capability.
Attacks that exploit this kind of access
Send an email through Gmail. It is categorised as a Write tool in the Gmail MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gmail MCP Server MCP server in PolicyLayer and add a rule for send_email: 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 MCP Server. Nothing to install.
send_email 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 send_email 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 send_email. 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.
send_email is provided by the Gmail MCP Server MCP server (nvdpsingh/gmailmcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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