Trigger (show) a specific message with optional token values
AI agents invoke messages_trigger 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.
This tool triggers external operations (displaying messages in a presentation control system) whose effects are determined by arguments (which message, what token values). The outcome depends entirely on how an AI agent uses it. While not destructive or financial, it performs an action with real-world side effects in a live presentation context, making it Execute rather than Write or Read.
From the tool's definition Tool name 'messages_trigger' and description 'Trigger (show) a specific message with optional token values' indicate the tool executes an action that causes a presentation message to be displayed, affecting the state of the ProPresenter application and what…
Documented attack patterns abuse exactly the kind of access messages_trigger gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Propresenter, and nothing reaches the server without passing your rules. This is the rule we recommend for messages_trigger:
{
"version": "1",
"default": "deny",
"tools": {
"messages_trigger": {
"limits": [
{
"counter": "messages_trigger_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} messages_trigger 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.
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Trigger (show) a specific message with optional token values. 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.
Register the Propresenter MCP server in PolicyLayer and add a rule for messages_trigger: 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.
messages_trigger is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the messages_trigger 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.
Set action: deny in the PolicyLayer policy for messages_trigger. 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.
messages_trigger 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.
Start from Propresenter, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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177 Propresenter tools catalogued and risk-classified — across an index of 43,000+ MCP servers.