cbs_analyze_remote_dataset · Nl Opendata MCP: Risk & Policy

WHAT IT DOES

What cbs_analyze_remote_dataset does on Nl Opendata

AI agents invoke cbs_analyze_remote_dataset to trigger actions in Nl Opendata. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why cbs_analyze_remote_dataset needs a policy

The tool name suggests it performs analysis on a remote dataset, which likely involves executing queries or computations against remote data (consistent with sibling tools like cbs_analyze_local_dataset and cbs_query_dataset). Analysis operations typically run code or queries rather than merely reading static data. However, since the description is empty, confidence is lowered.

From the tool's definition Tool name 'cbs_analyze_remote_dataset' and server description mentions 'analyzing data using CSV, Parquet, DuckDB, or Pandas' — the description itself is empty/uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

cbs_analyze_remote_dataset Rate-limited

cbs_analyze_remote_dataset stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "cbs_analyze_remote_dataset": {
      "limits": [
        {
          "counter": "cbs_analyze_remote_dataset_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Nl Opendata, so you can run agents against it safely.

FAQ

Questions about cbs_analyze_remote_dataset

What does the cbs_analyze_remote_dataset tool do? +

cbs_analyze_remote_dataset. It is categorised as a Execute tool in the Nl Opendata MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cbs_analyze_remote_dataset? +

Register the Nl Opendata MCP server in PolicyLayer and add a rule for cbs_analyze_remote_dataset: 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 Nl Opendata. Nothing to install.

What risk level is cbs_analyze_remote_dataset? +

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

Can I rate-limit cbs_analyze_remote_dataset? +

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

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

cbs_analyze_remote_dataset is provided by the Nl Opendata MCP server (soulnai/nl-opendata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.