playout_publish_draft

Publish Channel's Draft. Playout Scheduler (Draft Versions). Destructive - requires confirm: true in safe mode.

SERVERZype Com SOURCEzype/zype-mcp

Medium RISK CLASS

Category Write

Parameters 31 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/com-zype-mcp-server/playout-publish-draft.md

WHAT IT DOES

What playout_publish_draft does on Zype Com

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

Parameter	Type	Required	Description
`id`	string	Yes	id (required)
`body`	object	—	Request body fields for this operation
`confirm`	boolean	—	Set true to confirm (required in safe mode)

Parameters from the server's own tool schema.

RISK

Why playout_publish_draft is rated Medium

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

Risk signalsAccepts raw HTML/template content (body)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs playout_publish_draft safely

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

playout_publish_draft Rate-limited

playout_publish_draft 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": {
    "playout_publish_draft": {
      "limits": [
        {
          "counter": "playout_publish_draft_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 Zype Com, apply this rule, and every playout_publish_draft call is checked against it from then on.

FAQ

Questions about playout_publish_draft

What does the playout_publish_draft tool do? +

Publish Channel's Draft. Playout Scheduler (Draft Versions). Destructive - requires confirm: true in safe mode. It is categorised as a Write tool in the Zype Com MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does playout_publish_draft accept? +

playout_publish_draft accepts 3 parameters: id, body, confirm. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on playout_publish_draft? +

Register the Zype Com MCP server in PolicyLayer and add a rule for playout_publish_draft: 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 Zype Com. Nothing to install.

What risk level is playout_publish_draft? +

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

Can I rate-limit playout_publish_draft? +

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

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

playout_publish_draft is provided by the Zype Com MCP server (zype/zype-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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