Low Risk

preview

Render SVG content to a PNG image so the AI can visually inspect the output. When to use: - After render_svg, call preview to see what was generated - Use in a revision loop: render → preview → critique → revise → preview again - Stop when the visual result matches the intent Behavior: - Returns ...

Part of the Nakkas server.

preview is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call preview to perform operations in Nakkas. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.

Applying a policy to preview gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.

Apply a rate limit to control usage and monitor for unexpected behaviour.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "preview": {
      "limits": [
        {
          "counter": "preview_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Nakkas policy for all 3 tools.

Get this rule live on your own Nakkas server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY NAKKAS →

These attack patterns abuse exactly the kind of access preview 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 preview only ever does what you allow.

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Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the preview tool do? +

Render SVG content to a PNG image so the AI can visually inspect the output. When to use: - After render_svg, call preview to see what was generated - Use in a revision loop: render → preview → critique → revise → preview again - Stop when the visual result matches the intent Behavior: - Returns a PNG image (base64) rendered from the SVG string - Background is transparent by default - CSS animations and SMIL are rendered as a static snapshot (t=0) — motion is not captured - Format is auto-detected from content; pass format:. It is categorised as a Other tool in the Nakkas MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on preview? +

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

What risk level is preview? +

preview is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit preview? +

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

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

preview is provided by the Nakkas MCP server (nakkas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nakkas tool call.

Deterministic rules across all 3 Nakkas tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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