announcement_trigger_next

Trigger the next cue in the active announcement

SERVERPropresenter SOURCE@alxpark/propresenter-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/io-github-alxpark-propresenter-mcp/announcement-trigger-next.md

WHAT IT DOES

What announcement_trigger_next does on Propresenter

AI agents invoke announcement_trigger_next to trigger actions in Propresenter. 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 announcement_trigger_next is rated High

This tool executes a command that triggers the next cue in a presentation system (ProPresenter 7). While not destructive or financial, it performs a state-changing action on an external system whose effects depend on the current presentation state and cannot be easily reversed if triggered at the wrong time.

From the tool's definition Tool name and description: 'announcement_trigger_next' - 'Trigger the next cue in the active announcement'. The verb 'trigger' combined with 'next cue' indicates execution of an external operation that advances a presentation state.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs announcement_trigger_next safely

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

announcement_trigger_next Rate-limited

announcement_trigger_next 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": {
    "announcement_trigger_next": {
      "limits": [
        {
          "counter": "announcement_trigger_next_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 Propresenter, apply this rule, and every announcement_trigger_next call is checked against it from then on.

FAQ

Questions about announcement_trigger_next

What does the announcement_trigger_next tool do? +

Trigger the next cue in the active announcement. It is categorised as a Execute tool in the Propresenter MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on announcement_trigger_next? +

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

What risk level is announcement_trigger_next? +

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

Can I rate-limit announcement_trigger_next? +

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

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

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

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