Medium Risk

toggle_clip

Select or deselect a suggested clip by clip_number. Selected clips are exported with export_selected.

How to control toggle_clip ↓

What toggle_clip does on Podcli

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

Medium Risk

Why toggle_clip needs a policy

This tool creates or modifies data reversibly by toggling the selection state of clips. While it doesn't directly delete or create clips, it changes metadata that controls which clips are included in exports. The modification is reversible (clips can be toggled on or off), making it a Write-category action.

From the tool's definition Tool description states 'Select or deselect a suggested clip' and 'Selected clips are exported with export_selected', indicating the tool modifies the state of clip selections, which affects downstream export operations.

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

How to control toggle_clip

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

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

toggle_clip 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 Podcli — 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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Related tools and policies

Go deeper

Questions about toggle_clip

What does the toggle_clip tool do? +

Select or deselect a suggested clip by clip_number. Selected clips are exported with export_selected. It is categorised as a Write tool in the Podcli MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on toggle_clip? +

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

What risk level is toggle_clip? +

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

Can I rate-limit toggle_clip? +

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

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

toggle_clip is provided by the Podcli MCP server (nmbrthirteen/podcli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Podcli tool call.

Start from Podcli, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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17 Podcli tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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