continue_last
Resume the most recent saved playback position without knowing its name (newest by saved_at across the shared position store — a checkpoint_playback, a capture_playback_position bookmark or a save_playback_state slot). Pairs with checkpoint_playback. Quota: 2-3 writes (play + shuffle/repeat best-...
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What continue_last does on Spotify
AI agents invoke continue_last to trigger actions in Spotify. 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 continue_last is rated High
Triggers external Spotify playback operations with side effects on device state.
From the tool's definition Resume playback, 2-3 writes (play + shuffle/repeat best-effort)
Attacks that exploit this kind of access
The rule that runs continue_last 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 continue_last, this is the rule to start with:
continue_last 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 Spotify, apply this rule, and every continue_last call is checked against it from then on.
Questions about continue_last
Resume the most recent saved playback position without knowing its name (newest by saved_at across the shared position store — a checkpoint_playback, a capture_playback_position bookmark or a save_playback_state slot). Pairs with checkpoint_playback. Quota: 2-3 writes (play + shuffle/repeat best-effort). It is categorised as a Execute tool in the Spotify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Spotify MCP server in PolicyLayer and add a rule for continue_last: 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.
continue_last 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 continue_last 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 continue_last. 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.
continue_last 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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