Medium Risk

modify_clip

Adjust a suggested clip before exporting. Change timing, title, or caption style.

How to control modify_clip ↓

What modify_clip does on Podcli

AI agents use modify_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 modify_clip needs a policy

The tool performs reversible modifications to clip metadata and properties (timing adjustments, title changes, caption style updates) without deleting data or executing arbitrary code. This is characteristic of Write operations. Severity is medium because misuse could result in incorrect or inappropriate clip exports, but the changes are reversible and localized to a single clip's properties.

From the tool's definition Tool description states 'Adjust a suggested clip before exporting. Change timing, title, or caption style.' This involves modifying existing clip data (timing, title, caption properties) prior to export, which constitutes data modification rather than…

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

How to control modify_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 modify_clip:

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

modify_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 modify_clip

What does the modify_clip tool do? +

Adjust a suggested clip before exporting. Change timing, title, or caption style. 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 modify_clip? +

Register the Podcli MCP server in PolicyLayer and add a rule for modify_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 modify_clip? +

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

Can I rate-limit modify_clip? +

Yes. Add a rate_limit block to the modify_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 modify_clip completely? +

Set action: deny in the PolicyLayer policy for modify_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 modify_clip? +

modify_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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