playout_update_live_stream

Update Live Asset. Playout Scheduler (Assets).

SERVERZype Com SOURCEzype/zype-mcp

Medium RISK CLASS

Category Write

Parameters 32 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-update-live-stream.md

WHAT IT DOES

What playout_update_live_stream does on Zype Com

AI agents use playout_update_live_stream 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
`channel_id`	string	Yes	channelId (required)

Parameters from the server's own tool schema.

RISK

Why playout_update_live_stream is rated Medium

An AI agent can call playout_update_live_stream 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_update_live_stream 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_update_live_stream, this is the rule to start with:

playout_update_live_stream Rate-limited

playout_update_live_stream 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_update_live_stream": {
      "limits": [
        {
          "counter": "playout_update_live_stream_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_update_live_stream call is checked against it from then on.

FAQ

Questions about playout_update_live_stream

What does the playout_update_live_stream tool do? +

Update Live Asset. Playout Scheduler (Assets). 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_update_live_stream accept? +

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

How do I enforce a policy on playout_update_live_stream? +

Register the Zype Com MCP server in PolicyLayer and add a rule for playout_update_live_stream: 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_update_live_stream? +

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

Can I rate-limit playout_update_live_stream? +

Yes. Add a rate_limit block to the playout_update_live_stream 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_update_live_stream completely? +

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

playout_update_live_stream 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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