Send an email notification with customizable recipient, subject, and body
AI agents use sendEmail to create or update resources in MCP Resume & Email Assistant — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Resume & Email Assistant environment.
This tool modifies state by sending emails, which is a Write operation. Severity is medium because misuse could result in spam, phishing, or unwanted communications, but emails can theoretically be deleted or their effects mitigated. It does not delete data (Destructive), move money (Financial), or execute arbitrary code (Execute).
From the tool's definition 'Send an email notification with customizable recipient, subject, and body' — the tool creates and sends email messages, a reversible write operation.
Attacks that exploit this kind of access
Send an email notification with customizable recipient, subject, and body. It is categorised as a Write tool in the MCP Resume & Email Assistant MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Resume & Email Assistant MCP server in PolicyLayer and add a rule for 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 MCP Resume & Email Assistant. Nothing to install.
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 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 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.
sendEmail is provided by the MCP Resume & Email Assistant MCP server (thambimuthuanush24/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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