Get the current timeline status of the active presentation
AI agents call get_timeline_status to retrieve information from Propresenter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves status information about an active presentation's timeline. It performs a read-only query with no side effects, no data modification, no code execution, and no destructive capability. The low severity reflects the minimal risk—querying presentation state poses no blast radius for misuse by an AI agent.
From the tool's definition Tool name 'get_timeline_status' and description 'Get the current timeline status of the active presentation' indicate a query operation that retrieves information about the current state without modifying or executing any actions.
Documented attack patterns abuse exactly the kind of access get_timeline_status 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 get_timeline_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_timeline_status": {}
}
}get_timeline_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get the current timeline status of the active presentation. It is categorised as a Read tool in the Propresenter MCP Server, which means it retrieves data without modifying state.
Register the Propresenter MCP server in PolicyLayer and add a rule for get_timeline_status: 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.
get_timeline_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_timeline_status 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 get_timeline_status. 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.
get_timeline_status 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.
Free to start. No card required.
177 Propresenter tools catalogued and risk-classified — across an index of 43,000+ MCP servers.