send_email_reply · Multilead Open API MCP Server MCP

WHAT IT DOES

What send_email_reply does on Multilead Open API MCP Server

AI agents invoke send_email_reply to trigger actions in Multilead Open API 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.

WHY IT NEEDS A POLICY

Why send_email_reply needs a policy

Based on the tool name, this tool sends an email reply, which triggers an external operation (sending an email). This falls under Execute as it initiates an external communication action. The severity is high because an AI agent misusing this tool could send unauthorized emails to leads or contacts at scale, given the platform context of email campaigns and lead management.

From the tool's definition Tool name: 'send_email_reply'; description is empty/uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

send_email_reply Rate-limited

send_email_reply stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Multilead Open API MCP 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 Execute tool in the Multilead Open API MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on send_email_reply? +

Register the Multilead Open API MCP 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 Multilead Open API MCP Server. Nothing to install.

What risk level is send_email_reply? +

send_email_reply is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

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 Multilead Open API MCP Server MCP server (vanman2024/multilead-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

send_email_reply is one line of Multilead Open API MCP Server's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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