Low Risk

dataset_metadata

Get the structure of one CSO table by matrix code: its dimensions, the category codes + human labels for each dimension, size, and last-updated date. Use this to discover valid dimension codes before calling get_dataset with filters.

Part of the Cso Ie server.

dataset_metadata 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 dataset_metadata to retrieve information from Cso Ie 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_metadata 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_metadata": {}
  }
}

See the full Cso Ie policy for all 24 tools.

Get this rule live on your own Cso Ie 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 dataset_metadata 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 dataset_metadata 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 dataset_metadata tool do? +

Get the structure of one CSO table by matrix code: its dimensions, the category codes + human labels for each dimension, size, and last-updated date. Use this to discover valid dimension codes before calling get_dataset with filters.. It is categorised as a Read tool in the Cso Ie MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dataset_metadata? +

Register the Cso Ie MCP server in PolicyLayer and add a rule for dataset_metadata: 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 Cso Ie. Nothing to install.

What risk level is dataset_metadata? +

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

Can I rate-limit dataset_metadata? +

Yes. Add a rate_limit block to the dataset_metadata 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_metadata completely? +

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

dataset_metadata is provided by the Cso Ie MCP server (https://gateway.pipeworx.io/cso-ie/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Cso Ie tool call.

Deterministic rules across all 24 Cso Ie tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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