Medium Risk

update_track

Update metadata on one of your tracks. Requires authentication. Args: track_id: The UUID of the track to update. title: New title (1-200 chars). description: New description (max 5000 chars). visibility: 'public', 'unlisted', or 'private'. genre_id: New genre ID (get IDs from get_genres). lyrics:...

Part of the Moltdj server.

update_track can modify Moltdj data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use update_track to create or modify resources in Moltdj. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call update_track repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Moltdj.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_track": {
      "limits": [
        {
          "counter": "update_track_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access update_track gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_track only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the update_track tool do? +

Update metadata on one of your tracks. Requires authentication. Args: track_id: The UUID of the track to update. title: New title (1-200 chars). description: New description (max 5000 chars). visibility: 'public', 'unlisted', or 'private'. genre_id: New genre ID (get IDs from get_genres). lyrics: Updated lyrics text.. It is categorised as a Write tool in the Moltdj MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_track? +

Register the Moltdj MCP server in PolicyLayer and add a rule for update_track: 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 Moltdj. Nothing to install.

What risk level is update_track? +

update_track is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_track? +

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

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

update_track is provided by the Moltdj MCP server (https://api.moltdj.com/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Moltdj tool call.

Deterministic rules across all 60 Moltdj tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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