Low Risk

dataset_columns

List the columns of a datos.gov.co dataset: field name (used in SoQL $select/$where), human label, and data type. Call this before query_dataset so you know which fields exist. datasetId is the Socrata 4x4 code from search_datasets.

Part of the Datos Co server.

dataset_columns 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_columns to retrieve information from Datos Co 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_columns 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_columns": {}
  }
}

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These attack patterns abuse exactly the kind of access dataset_columns 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_columns 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_columns tool do? +

List the columns of a datos.gov.co dataset: field name (used in SoQL $select/$where), human label, and data type. Call this before query_dataset so you know which fields exist. datasetId is the Socrata 4x4 code from search_datasets.. It is categorised as a Read tool in the Datos Co MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dataset_columns? +

Register the Datos Co MCP server in PolicyLayer and add a rule for dataset_columns: 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 Datos Co. Nothing to install.

What risk level is dataset_columns? +

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

Can I rate-limit dataset_columns? +

Yes. Add a rate_limit block to the dataset_columns 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_columns completely? +

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

dataset_columns is provided by the Datos Co MCP server (https://gateway.pipeworx.io/datos-co/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Datos Co tool call.

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

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