draft_workflow

Create an Adrata workflow draft manifest that can be saved as adrata.workflow.json, validated, dry-run, deployed, and replayed without opening the app.

SERVERAdrata SOURCE@adrata/adrata-mcp

High RISK CLASS

Category Execute

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-workflow.md

WHAT IT DOES

What draft_workflow does on Adrata

AI agents invoke draft_workflow to trigger actions in Adrata. 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.

RISK

Why draft_workflow is rated High

draft_workflow triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs draft_workflow 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_workflow, this is the rule to start with:

draft_workflow Rate-limited

draft_workflow 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": {
    "draft_workflow": {
      "limits": [
        {
          "counter": "draft_workflow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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_workflow call is checked against it from then on.

FAQ

Questions about draft_workflow

What does the draft_workflow tool do? +

Create an Adrata workflow draft manifest that can be saved as adrata.workflow.json, validated, dry-run, deployed, and replayed without opening the app. It is categorised as a Execute tool in the Adrata MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on draft_workflow? +

Register the Adrata MCP server in PolicyLayer and add a rule for draft_workflow: 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_workflow? +

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

Can I rate-limit draft_workflow? +

Yes. Add a rate_limit block to the draft_workflow 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_workflow completely? +

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

draft_workflow 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.

KEEP EXPLORING

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