send_email_reply · MCP Multi-Agent Server MCP: Risk & Policy

WHAT IT DOES

What send_email_reply does on MCP Multi-Agent Server

AI agents use send_email_reply to create or update resources in MCP Multi-Agent Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Multi-Agent Server environment.

WHY IT NEEDS A POLICY

Why send_email_reply needs a policy

Sending an email is a reversible write operation that creates/modifies communication data and may have external side effects (recipient notification), but does not delete data or execute arbitrary code. The severity is medium because misuse could spam users, leak sensitive information via email, or damage business relationships, but the blast radius is limited to email communication channels.

From the tool's definition Tool name 'send_email_reply' indicates composing and transmitting an email message. Context includes 'generate_email_reply' as a sibling tool, suggesting this one handles the delivery phase of email communication.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

send_email_reply Rate-limited

send_email_reply stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "send_email_reply": {
      "limits": [
        {
          "counter": "send_email_reply_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Multi-Agent Server, so you can run agents against it safely.

FAQ

Questions about send_email_reply

What does the send_email_reply tool do? +

send_email_reply. It is categorised as a Write tool in the MCP Multi-Agent Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_email_reply? +

Register the MCP Multi-Agent Server MCP server in PolicyLayer and add a rule for send_email_reply: 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 Multi-Agent Server. Nothing to install.

What risk level is send_email_reply? +

send_email_reply is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit send_email_reply? +

Yes. Add a rate_limit block to the send_email_reply 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.

How do I block send_email_reply completely? +

Set action: deny in the PolicyLayer policy for send_email_reply. 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.

What MCP server provides send_email_reply? +

send_email_reply is provided by the MCP Multi-Agent Server MCP server (sunnylabtv-crypto/ai_mcp_multi_agent-public). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.