Medium Risk

save

Save rendered content to disk. Format-aware: can save as text or render to raster image. IMPORTANT: Use this only AFTER iterating on the design with render and preview. Do not save on the first render. Preview and refine your work first. Format detection: -

Part of the Nakkas server.

save can modify Nakkas 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 save to create or modify resources in Nakkas. 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 save 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 Nakkas.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "save": {
      "limits": [
        {
          "counter": "save_rate",
          "window": "minute",
          "max": 30,
          "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.

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These attack patterns abuse exactly the kind of access save 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 save 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 save tool do? +

Save rendered content to disk. Format-aware: can save as text or render to raster image. IMPORTANT: Use this only AFTER iterating on the design with render and preview. Do not save on the first render. Preview and refine your work first. Format detection: -. It is categorised as a Write tool in the Nakkas MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save? +

Register the Nakkas MCP server in PolicyLayer and add a rule for save: 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 save? +

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

Can I rate-limit save? +

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

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

save 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.

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

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