Low Risk

vl_get_saved_object

Get a single Kibana saved object by type and ID. This is a universal tool that can retrieve any type of saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.) by its exact type and ID. Use this when you know the specific object...

Part of the Kibana server.

vl_get_saved_object 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 vl_get_saved_object to retrieve information from Kibana without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though vl_get_saved_object only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "vl_get_saved_object": {}
  }
}

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the vl_get_saved_object tool do? +

Get a single Kibana saved object by type and ID. This is a universal tool that can retrieve any type of saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.) by its exact type and ID. Use this when you know the specific object you want to retrieve. PERFORMANCE: This is much faster than searching when you have the exact type and ID.. It is categorised as a Read tool in the Kibana MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on vl_get_saved_object? +

Register the Kibana MCP server in PolicyLayer and add a rule for vl_get_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_get_saved_object? +

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

Can I rate-limit vl_get_saved_object? +

Yes. Add a rate_limit block to the vl_get_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_get_saved_object completely? +

Set action: deny in the PolicyLayer policy for vl_get_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_get_saved_object? +

vl_get_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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