AI agents use send_mail to create or update resources in Tbird — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tbird environment.
This tool creates new email messages and modifies the Sent folder (writes records), which are reversible actions. Although email transmission can have external consequences, the tool itself performs data creation/modification rather than executing arbitrary code or deleting data.
From the tool's definition Tool name 'send_mail' combined with server description stating it 'sends mail via SMTP' and 'filing copies in Thunderbird's Sent folder' indicates creation of new messages and modification of mailbox state.
Attacks that exploit this kind of access
send_mail. It is categorised as a Write tool in the Tbird MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tbird MCP server in PolicyLayer and add a rule for send_mail: 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 Tbird. Nothing to install.
send_mail 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_mail 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_mail. 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_mail is provided by the Tbird MCP server (neil-zielsdorf/tbird-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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