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dataflow_structure

Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX key. The key has one position per dimension, in dimension_order; an empty position is a wildcard. Examp...

Part of the Statec Lu server.

dataflow_structure can trigger actions in Statec Lu, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke dataflow_structure to trigger processes or run actions in Statec Lu. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

dataflow_structure can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "dataflow_structure": {
      "limits": [
        {
          "counter": "dataflow_structure_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Statec Lu policy for all 23 tools.

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

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

What does the dataflow_structure tool do? +

Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX key. The key has one position per dimension, in dimension_order; an empty position is a wildcard. Example: dataflow_structure({ dataflow_id: "DF_A1100" }).. It is categorised as a Execute tool in the Statec Lu MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on dataflow_structure? +

Register the Statec Lu MCP server in PolicyLayer and add a rule for dataflow_structure: 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 Statec Lu. Nothing to install.

What risk level is dataflow_structure? +

dataflow_structure is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit dataflow_structure? +

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

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

dataflow_structure is provided by the Statec Lu MCP server (https://gateway.pipeworx.io/statec-lu/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Statec Lu tool call.

Deterministic rules across all 23 Statec Lu tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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