library_trigger_presentation

Trigger the first cue of a presentation in a library

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/library-trigger-presentation.md

WHAT IT DOES

What library_trigger_presentation does on Propresenter

AI agents invoke library_trigger_presentation 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 library_trigger_presentation is rated High

This tool executes an action that causes observable external effects (starting a presentation with its first cue). While not destructive or financial, it triggers a real-world operation in ProPresenter 7 that an AI agent could misuse to disrupt presentations, alter their flow, or cause unintended playback sequences.

From the tool's definition Tool name contains 'trigger' and description states 'Trigger the first cue of a presentation in a library' — this initiates an external operation (presentation playback) whose effects depend on which presentation is selected.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

library_trigger_presentation Rate-limited

library_trigger_presentation 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": {
    "library_trigger_presentation": {
      "limits": [
        {
          "counter": "library_trigger_presentation_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 library_trigger_presentation call is checked against it from then on.

FAQ

Questions about library_trigger_presentation

What does the library_trigger_presentation tool do? +

Trigger the first cue of a presentation in a library. 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 library_trigger_presentation? +

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

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

Can I rate-limit library_trigger_presentation? +

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

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

library_trigger_presentation 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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