save_scene
Save a named playback scene (device + volume + shuffle/repeat + optional context) to the local sidecar (~/.spotify-mcp/scenes.json)
This record as markdown: /tools/novalux12-spotify-mcp/save-scene.md
What save_scene does on Spotify
AI agents use save_scene to create or update resources in Spotify, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Spotify environment.
Why save_scene is rated Medium
An AI agent can call save_scene faster than any human can review: one bad instruction and it creates or modifies resources in Spotify by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs save_scene safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Spotify, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_scene, this is the rule to start with:
save_scene 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 Spotify, apply this rule, and every save_scene call is checked against it from then on.
Questions about save_scene
Save a named playback scene (device + volume + shuffle/repeat + optional context) to the local sidecar (~/.spotify-mcp/scenes.json). It is categorised as a Write tool in the Spotify MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Spotify MCP server in PolicyLayer and add a rule for save_scene: 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 Spotify. Nothing to install.
save_scene 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 save_scene 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 save_scene. 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.
save_scene is provided by the Spotify MCP server (@novalux12/spotify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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