Medium Risk

record_video

Record a professional demo video of a multi-step browser automation sequence. Produces MP4/WebM/GIF with cursor highlighting, click effects, smooth movement, step notes, browser frame (macOS/Windows), gradient/glass backgrounds, and more. Costs 3 API requests. Saves to disk. BEST PRACTICE: Keep v...

Risk signalsAccepts URL/endpoint input (steps[].url) · Accepts freeform code/query input (steps[].script) · High parameter count (73 properties) · Bulk/mass operation — affects multiple targets

Part of the Pagebolt server.

record_video can modify Pagebolt 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 record_video to create or modify resources in Pagebolt. 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 record_video 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 Pagebolt.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so record_video 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 record_video tool do? +

Record a professional demo video of a multi-step browser automation sequence. Produces MP4/WebM/GIF with cursor highlighting, click effects, smooth movement, step notes, browser frame (macOS/Windows), gradient/glass backgrounds, and more. Costs 3 API requests. Saves to disk. BEST PRACTICE: Keep videos concise (5-15 action steps). Do NOT add wait steps between every action — the pace parameter handles timing. Only use wait for page loads or narration holds. Do NOT use zoom unless the user explicitly asks for it.. It is categorised as a Write tool in the Pagebolt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on record_video? +

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

What risk level is record_video? +

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

Can I rate-limit record_video? +

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

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

record_video is provided by the Pagebolt MCP server (pagebolt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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