spotify_resume_last_played

THE RISK

High Risk

This tool triggers an external operation on the Spotify application — resuming playback. It doesn't just read data, nor does it write/delete persistent data or involve finances. It executes a playback control action on an external media service.

From the tool's definition Resume last playlist or album

Documented attack patterns abuse exactly the kind of access spotify_resume_last_played gives an agent:

HOW TO CONTROL SPOTIFY_RESUME_LAST_PLAYED

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Windows, and nothing reaches the server without passing your rules. This is the rule we recommend for spotify_resume_last_played:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "spotify_resume_last_played": {
      "limits": [
        {
          "counter": "spotify_resume_last_played_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

spotify_resume_last_played 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.

Create a free account and register Mcp Windows — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Go deeper

High-risk tools in Mcp Windows → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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FAQ

What does the spotify_resume_last_played tool do? +

Resume last playlist or album. It is categorised as a Execute tool in the Mcp Windows MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on spotify_resume_last_played? +

Register the Mcp Windows MCP server in PolicyLayer and add a rule for spotify_resume_last_played: 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 Mcp Windows. Nothing to install.

What risk level is spotify_resume_last_played? +

spotify_resume_last_played is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit spotify_resume_last_played? +

Yes. Add a rate_limit block to the spotify_resume_last_played 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.

How do I block spotify_resume_last_played completely? +

Set action: deny in the PolicyLayer policy for spotify_resume_last_played. 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.

What MCP server provides spotify_resume_last_played? +

spotify_resume_last_played is provided by the Mcp Windows MCP server (mukul975/mcp-windows-automation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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// WHAT SPOTIFY_RESUME_LAST_PLAYED ON MCP WINDOWS DOES

// THE RISK

// HOW TO CONTROL SPOTIFY_RESUME_LAST_PLAYED

// EXPLORE