Medium Risk

track_select

Select a track by index. Many operations require selecting a track first.

How to control track_select ↓

AI agents use track_select to create or update resources in AudacityMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AudacityMCP environment.

Medium Risk

This tool modifies the selection state in Audacity (which track is currently selected). It is a reversible state change — a 'Write' operation that sets UI/application state. It does not read data, execute code, delete anything, or involve finances. Severity is low because selecting a track has minimal blast radius on its own, though it may be a prerequisite for more impactful operations.

From the tool's definition Select a track by index. Many operations require selecting a track first.

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

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

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

track_select stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register AudacityMCP — 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.
LIMIT THIS TOOL →

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Go deeper

What does the track_select tool do? +

Select a track by index. Many operations require selecting a track first. It is categorised as a Write tool in the AudacityMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on track_select? +

Register the Audacity MCP server in PolicyLayer and add a rule for track_select: 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 AudacityMCP. Nothing to install.

What risk level is track_select? +

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

Can I rate-limit track_select? +

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

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

track_select is provided by the Audacity MCP server (xdarkzx/audacity-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AudacityMCP tool call.

Deterministic rules across all 131 AudacityMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

131 AudacityMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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