announcement_trigger_previous

Trigger the previous 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-previous.md

WHAT IT DOES

What announcement_trigger_previous does on Propresenter

AI agents invoke announcement_trigger_previous 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_previous is rated High

This tool triggers external presentation state changes (cueing the previous announcement element), which is an operation whose effects depend on the current state of the presentation. It is not merely reading data, nor is it creating/modifying persistent data structures. It executes a control action on an external system (ProPresenter).

From the tool's definition Tool name 'announcement_trigger_previous' and description 'Trigger the previous cue in the active announcement' indicate it executes a command that advances playback state in ProPresenter 7, a presentation/broadcast software.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs announcement_trigger_previous 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_previous, this is the rule to start with:

announcement_trigger_previous Rate-limited

announcement_trigger_previous 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_previous": {
      "limits": [
        {
          "counter": "announcement_trigger_previous_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_previous call is checked against it from then on.

FAQ

Questions about announcement_trigger_previous

What does the announcement_trigger_previous tool do? +

Trigger the previous 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_previous? +

Register the Propresenter MCP server in PolicyLayer and add a rule for announcement_trigger_previous: 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_previous? +

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

Can I rate-limit announcement_trigger_previous? +

Yes. Add a rate_limit block to the announcement_trigger_previous 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_previous completely? +

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

announcement_trigger_previous 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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