manage_workflow

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/manage-workflow.md

WHAT IT DOES

What manage_workflow does on Adrata

AI agents use manage_workflow 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 manage_workflow is rated Medium

An AI agent can call manage_workflow 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.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_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 manage_workflow, this is the rule to start with:

manage_workflow Rate-limited

manage_workflow 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": {
    "manage_workflow": {
      "limits": [
        {
          "counter": "manage_workflow_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 manage_workflow call is checked against it from then on.

FAQ

Questions about manage_workflow

What does the manage_workflow tool do? +

Create/edit/on/off workflows, change tell/ask/do, replay evidence, install/activate packs, or approve/edit/skip waiting runs. check_now evaluates and drains up to 25 queued runs across the entire workspace. Activation and approvals may execute configured actions. Live writes require explicit approval, reason and stable idempotencyKey. 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 manage_workflow? +

Register the Adrata MCP server in PolicyLayer and add a rule for manage_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 manage_workflow? +

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

Can I rate-limit manage_workflow? +

Yes. Add a rate_limit block to the manage_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 manage_workflow completely? +

Set action: deny in the PolicyLayer policy for manage_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 manage_workflow? +

manage_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.

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