Low Risk

dataset_dimensions

List the dimensions of one cube, in path order, with each dimension's valid value codes and labels. Selections in get_data are positional and must follow this dimension order. Get the cube code from list_datasets.

Part of the Datacube Sk server.

dataset_dimensions 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.

SECURE DATACUBE SK →

Free to start. No card required.

AI agents call dataset_dimensions to retrieve information from Datacube Sk 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 dataset_dimensions 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": {
    "dataset_dimensions": {}
  }
}

See the full Datacube Sk policy for all 23 tools.

Get this rule live on your own Datacube Sk server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY DATACUBE SK →

View all 23 tools →

These attack patterns abuse exactly the kind of access dataset_dimensions gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so dataset_dimensions only ever does what you allow.

SECURE DATACUBE SK →

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

What does the dataset_dimensions tool do? +

List the dimensions of one cube, in path order, with each dimension's valid value codes and labels. Selections in get_data are positional and must follow this dimension order. Get the cube code from list_datasets.. It is categorised as a Read tool in the Datacube Sk MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dataset_dimensions? +

Register the Datacube Sk MCP server in PolicyLayer and add a rule for dataset_dimensions: 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 Datacube Sk. Nothing to install.

What risk level is dataset_dimensions? +

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

Can I rate-limit dataset_dimensions? +

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

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

dataset_dimensions is provided by the Datacube Sk MCP server (https://gateway.pipeworx.io/datacube-sk/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Datacube Sk tool call.

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

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.