props_resume_auto_clear
Resume auto-clear for a specific prop
This record as markdown: /tools/io-github-alxpark-propresenter-mcp/props-resume-auto-clear.md
What props_resume_auto_clear does on Propresenter
AI agents invoke props_resume_auto_clear 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.
Why props_resume_auto_clear is rated High
This tool triggers an operational state change in ProPresenter — resuming an auto-clear process for a prop. It executes an action that affects live presentation state. It's not purely reading data, nor is it creating/modifying persistent data in a reversible write sense. It triggers an ongoing process/operation, placing it in Execute.
From the tool's definition Resume auto-clear for a specific prop
Attacks that exploit this kind of access
The rule that runs props_resume_auto_clear 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 props_resume_auto_clear, this is the rule to start with:
props_resume_auto_clear 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Propresenter, apply this rule, and every props_resume_auto_clear call is checked against it from then on.
Questions about props_resume_auto_clear
Resume auto-clear for a specific prop. 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 props_resume_auto_clear: 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.
props_resume_auto_clear 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 props_resume_auto_clear 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 props_resume_auto_clear. 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.
props_resume_auto_clear 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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