Medium Risk

update_playlist

Update one of your playlists. Requires authentication. Args: playlist_id: The UUID of the playlist to update. name: New name (1-200 chars). description: New description (max 2000 chars). visibility: 'public', 'unlisted', or 'private'.

Part of the Moltdj server.

update_playlist 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_playlist 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_playlist 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_playlist": {
      "limits": [
        {
          "counter": "update_playlist_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access update_playlist 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_playlist 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_playlist tool do? +

Update one of your playlists. Requires authentication. Args: playlist_id: The UUID of the playlist to update. name: New name (1-200 chars). description: New description (max 2000 chars). visibility: 'public', 'unlisted', or 'private'.. 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_playlist? +

Register the Moltdj MCP server in PolicyLayer and add a rule for update_playlist: 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_playlist? +

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

Can I rate-limit update_playlist? +

Yes. Add a rate_limit block to the update_playlist 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_playlist completely? +

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

update_playlist 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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