Low Risk

recommend_tracks

recommend_tracks

How to control recommend_tracks ↓

AI agents call recommend_tracks to retrieve information from TIDAL MCP: My Custom Picks without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

The tool is named 'recommend_tracks', which typically retrieves or suggests data based on criteria without modifying any state. The server description mentions 'get customized music recommendations', confirming this is a retrieval function.

From the tool's definition Tool name 'recommend_tracks' indicates retrieval of music recommendations. Sibling tools show this server has both read operations (get_favorite_tracks, get_playlist_tracks, get_user_playlists) and write operations (create_tidal_playlist,…

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

PolicyLayer is an MCP gateway — it sits between your AI agents and TIDAL MCP: My Custom Picks, and nothing reaches the server without passing your rules. This is the rule we recommend for recommend_tracks:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_tracks": {}
  }
}

recommend_tracks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register TIDAL MCP: My Custom Picks — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the recommend_tracks tool do? +

recommend_tracks. It is categorised as a Read tool in the TIDAL MCP: My Custom Picks MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_tracks? +

Register the TIDAL MCP: My Custom Picks MCP server in PolicyLayer and add a rule for recommend_tracks: 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 TIDAL MCP: My Custom Picks. Nothing to install.

What risk level is recommend_tracks? +

recommend_tracks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit recommend_tracks? +

Yes. Add a rate_limit block to the recommend_tracks 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 recommend_tracks completely? +

Set action: deny in the PolicyLayer policy for recommend_tracks. 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 recommend_tracks? +

recommend_tracks is provided by the TIDAL MCP: My Custom Picks MCP server (yuhuacheng/tidal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TIDAL MCP: My Custom Picks tool call.

Deterministic rules across all 7 TIDAL MCP: My Custom Picks tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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7 TIDAL MCP: My Custom Picks tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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