get_timeline_status
Get the current timeline status of the active presentation
This record as markdown: /tools/io-github-alxpark-propresenter-mcp/get-timeline-status.md
What get_timeline_status does on Propresenter
AI agents call get_timeline_status to retrieve information from Propresenter without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_timeline_status is rated Low
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.
Attacks that exploit this kind of access
The rule that runs get_timeline_status 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 get_timeline_status, this is the rule to start with:
get_timeline_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Propresenter, apply this rule, and every get_timeline_status call is checked against it from then on.
Questions about get_timeline_status
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.
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