This record as markdown: /tools/io-github-alxpark-propresenter-mcp/messages-clear.md
What messages_clear does on Propresenter
AI agents use messages_clear to create or update resources in Propresenter, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Propresenter environment.
Why messages_clear is rated Medium
Clearing/hiding a message is a reversible modification to display state — the message can be shown again. It modifies the presentation state without permanently destroying data, placing it in the Write category rather than Destructive.
From the tool's definition Clear (hide) a specific message
Attacks that exploit this kind of access
The rule that runs messages_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 messages_clear, this is the rule to start with:
messages_clear stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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 messages_clear call is checked against it from then on.
Questions about messages_clear
Clear (hide) a specific message. It is categorised as a Write tool in the Propresenter MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Propresenter MCP server in PolicyLayer and add a rule for messages_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.
messages_clear is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the messages_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 messages_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.
messages_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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