Send an email via Gmail. Set html=True for HTML body.
AI agents use send_email to create or update resources in Gworkspace — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gworkspace environment.
This tool creates new email messages, which is a reversible write operation. While emails, once sent, cannot be unsent in most cases, the primary action is composing and transmitting a message rather than permanently destroying data.
From the tool's definition Tool sends emails via Gmail. The description explicitly states 'Send an email via Gmail,' indicating creation of new email messages.
Attacks that exploit this kind of access
Send an email via Gmail. Set html=True for HTML body. It is categorised as a Write tool in the Gworkspace MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gworkspace 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 Gworkspace. 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 Gworkspace MCP server (leoonic/gworkspace-mcp). 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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