announcement_get_timeline_status
Get the current timeline status of the active announcement
This record as markdown: /tools/io-github-alxpark-propresenter-mcp/announcement-get-timeline-status.md
What announcement_get_timeline_status does on Propresenter
AI agents call announcement_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 announcement_get_timeline_status is rated Low
This tool retrieves status information about an active announcement's timeline. The verb 'get' and the absence of any language suggesting modification, deletion, or external action classify this as a Read operation. The blast radius is minimal—querying timeline status cannot harm the system or cause unintended consequences.
From the tool's definition Tool name 'announcement_get_timeline_status' and description 'Get the current timeline status of the active announcement' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs announcement_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 announcement_get_timeline_status, this is the rule to start with:
announcement_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 announcement_get_timeline_status call is checked against it from then on.
Questions about announcement_get_timeline_status
Get the current timeline status of the active announcement. 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 announcement_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.
announcement_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 announcement_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 announcement_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.
announcement_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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