Get the current time selection.
AI agents call get_time_selection to retrieve information from Reaper without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data (the current time selection in REAPER) with no modifications, side effects, or external operations triggered. It matches the 'Read' category definition: retrieves or queries data with no side effects (search, list, get, fetch).
From the tool's definition Tool name 'get_time_selection' and description 'Get the current time selection' indicate a retrieval operation that queries the current state of the REAPER DAW without modifying any data or triggering side effects.
Documented attack patterns abuse exactly the kind of access get_time_selection gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Reaper, and nothing reaches the server without passing your rules. This is the rule we recommend for get_time_selection:
{
"version": "1",
"default": "deny",
"tools": {
"get_time_selection": {}
}
} get_time_selection is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the current time selection. It is categorised as a Read tool in the Reaper MCP Server, which means it retrieves data without modifying state.
Register the Reaper MCP server in PolicyLayer and add a rule for get_time_selection: 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 Reaper. Nothing to install.
get_time_selection 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_time_selection 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_time_selection. 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_time_selection is provided by the Reaper MCP server (twelvetake-studios/reaper-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Reaper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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158 Reaper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.