sunvox_compose
Build a SunVox project programmatically from a JSON spec, save it as .sunvox, and optionally render it in the same call.
This record as markdown: /tools/kh0pper-crow/sunvox-compose.md
What sunvox_compose does on Crow
AI agents invoke sunvox_compose to trigger actions in Crow. 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 sunvox_compose is rated High
Executes code to build, write files, and optionally render audio output.
From the tool's definition Build programmatically, save as .sunvox, optionally render
Attacks that exploit this kind of access
The rule that runs sunvox_compose safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sunvox_compose, this is the rule to start with:
sunvox_compose 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 Crow, apply this rule, and every sunvox_compose call is checked against it from then on.
Questions about sunvox_compose
Build a SunVox project programmatically from a JSON spec, save it as .sunvox, and optionally render it in the same call. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Crow MCP server in PolicyLayer and add a rule for sunvox_compose: 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 Crow. Nothing to install.
sunvox_compose 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 sunvox_compose 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 sunvox_compose. 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.
sunvox_compose is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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