Medium Risk

vl_create_saved_object

Create a new Kibana saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). This is a universal tool that can create any type of saved object by specifying the type and attributes. Each object type has specific attribute requir...

Risk signalsHigh parameter count (10 properties)

Part of the Kibana server.

vl_create_saved_object can modify Kibana 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 vl_create_saved_object to create or modify resources in Kibana. 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 vl_create_saved_object 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 Kibana.

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

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

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

Create a new Kibana saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). This is a universal tool that can create any type of saved object by specifying the type and attributes. Each object type has specific attribute requirements. IMPORTANT: The 'title' field is required for most object types. Complex fields like panelsJSON, visState should be JSON strings.. It is categorised as a Write tool in the Kibana MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on vl_create_saved_object? +

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

What risk level is vl_create_saved_object? +

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

Can I rate-limit vl_create_saved_object? +

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

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

vl_create_saved_object is provided by the Kibana MCP server (TocharianOU/mcp-server-kibana). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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