Medium Risk

create_dashboard

Create a new dashboard in Metabase

Part of the Metabase Analytics Integration Server server.

create_dashboard can modify Metabase Analytics Integration Server 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 create_dashboard to create or modify resources in Metabase Analytics Integration Server. 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 create_dashboard 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 Metabase Analytics Integration Server.

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

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

See the full Metabase Analytics Integration Server policy for all 16 tools.

Get this rule live on your own Metabase Analytics Integration Server 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 create_dashboard 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 create_dashboard 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 create_dashboard tool do? +

Create a new dashboard in Metabase. It is categorised as a Write tool in the Metabase Analytics Integration Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_dashboard? +

Register the Metabase Analytics Integration Server MCP server in PolicyLayer and add a rule for create_dashboard: 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 Metabase Analytics Integration Server. Nothing to install.

What risk level is create_dashboard? +

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

Can I rate-limit create_dashboard? +

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

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

create_dashboard is provided by the Metabase Analytics Integration Server MCP server (ryanmaule/metabase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Metabase Analytics Integration Server tool call.

Deterministic rules across all 16 Metabase Analytics Integration Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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