Plan a short multi-step email workflow using sampling (agentic assist).
AI agents invoke email_agentic_assist to trigger actions in MiniMail MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool orchestrates a multi-step email workflow autonomously, which implies it can trigger sequences of actions (sending emails, configuring services, etc.) on behalf of the user.
From the tool's definition Plan a short multi-step email workflow using sampling (agentic assist)
Attacks that exploit this kind of access
Plan a short multi-step email workflow using sampling (agentic assist). It is categorised as a Execute tool in the MiniMail MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MiniMail MCP Server MCP server in PolicyLayer and add a rule for email_agentic_assist: 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 MiniMail MCP Server. Nothing to install.
email_agentic_assist is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the email_agentic_assist 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 email_agentic_assist. 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.
email_agentic_assist is provided by the MiniMail MCP Server MCP server (sandraschi/email-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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