This record as markdown: /tools/io-github-dreamrec-livepilot/set-tempo.md
What set_tempo does on Livepilot
AI agents use set_tempo to create or update resources in Livepilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Livepilot environment.
Why set_tempo is rated Medium
The tool creates or modifies a production parameter (tempo) within the DAW. This is a reversible write operation that changes the active song state. Severity is medium because unintended tempo changes during production could disrupt workflow and require manual correction, but cause no irreversible data loss or external system impact.
From the tool's definition Tool name is 'set_tempo' and description states 'Set the song tempo in BPM (20-999)' — this modifies song tempo, a reversible parameter within Ableton Live.
Attacks that exploit this kind of access
The rule that runs set_tempo safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_tempo, this is the rule to start with:
set_tempo 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 Livepilot, apply this rule, and every set_tempo call is checked against it from then on.
Questions about set_tempo
Set the song tempo in BPM (20-999). It is categorised as a Write tool in the Livepilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Livepilot MCP server in PolicyLayer and add a rule for set_tempo: 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 Livepilot. Nothing to install.
set_tempo 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 set_tempo 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 set_tempo. 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.
set_tempo is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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