draft_email

Create an email draft with optimal send time suggestion and subject line variants. Uses send-time optimization to suggest the best time to send based on recipient engagement patterns.

SERVERAdrata SOURCE@adrata/adrata-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/draft-email.md

WHAT IT DOES

What draft_email does on Adrata

AI agents use draft_email to create or update resources in Adrata, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adrata environment.

RISK

Why draft_email is rated Medium

An AI agent can call draft_email faster than any human can review: one bad instruction and it creates or modifies resources in Adrata by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs draft_email safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For draft_email, this is the rule to start with:

draft_email Rate-limited

draft_email 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": {
    "draft_email": {
      "limits": [
        {
          "counter": "draft_email_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adrata, apply this rule, and every draft_email call is checked against it from then on.

FAQ

Questions about draft_email

What does the draft_email tool do? +

Create an email draft with optimal send time suggestion and subject line variants. Uses send-time optimization to suggest the best time to send based on recipient engagement patterns. It is categorised as a Write tool in the Adrata MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on draft_email? +

Register the Adrata MCP server in PolicyLayer and add a rule for draft_email: 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 Adrata. Nothing to install.

What risk level is draft_email? +

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

Can I rate-limit draft_email? +

Yes. Add a rate_limit block to the draft_email 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 draft_email completely? +

Set action: deny in the PolicyLayer policy for draft_email. 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 draft_email? +

draft_email is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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