remove_saved_shows
Bulk-remove shows from your library (DELETE /me/shows) after cross-checking which of the
This record as markdown: /tools/novalux12-spotify-mcp/remove-saved-shows.md
What remove_saved_shows does on Spotify
AI agents call remove_saved_shows to permanently remove resources in Spotify, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why remove_saved_shows is rated Critical
An AI agent that decides to call remove_saved_shows doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Spotify is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs remove_saved_shows 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 remove_saved_shows, this is the rule to start with:
remove_saved_shows is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Spotify, apply this rule, and every remove_saved_shows call is checked against it from then on.
Questions about remove_saved_shows
Bulk-remove shows from your library (DELETE /me/shows) after cross-checking which of the. It is categorised as a Destructive tool in the Spotify MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Spotify MCP server in PolicyLayer and add a rule for remove_saved_shows: 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.
remove_saved_shows is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_saved_shows 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 remove_saved_shows. 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.
remove_saved_shows 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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