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statistics-denmark.data.table_info

Get the full metadata for a specific Statistics Denmark table — dimension codes, valid value codes, and human-readable labels needed to construct a data query. Returns table title, description, unit, last-updated timestamp, and an array of variables (dimensions) each with its code (e.g. "OMRÅDE" ...

SERVERApibase SOURCEapibase-mcp-client
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/statistics-denmark.data.table-info.md

What statistics-denmark.data.table_info does on Apibase

AI agents call statistics-denmark.data.table_info to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
table_id string Yes StatBank table ID (short alphanumeric code). Obtain from statistics-denmark.tables. Common tables: "FOLK1A" (population by region/sex/age/marital status, quarte

Parameters from the server's own tool schema.

Why statistics-denmark.data.table_info is rated Low

Retrieves table metadata and schema information without modifying or executing queries.

From the tool's definition Get full metadata, dimension codes, valid value codes, human-readable labels

Questions about statistics-denmark.data.table_info

What does the statistics-denmark.data.table_info tool do? +

Get the full metadata for a specific Statistics Denmark table — dimension codes, valid value codes, and human-readable labels needed to construct a data query. Returns table title, description, unit, last-updated timestamp, and an array of variables (dimensions) each with its code (e.g. "OMRÅDE" for region), readable name, and the list of valid value codes with labels. This is the required second step before querying data: call statistics-denmark.data.tables to find a table ID, then statistics-denmark.data.table_info to learn the dimension codes and valid values, then statistics-denmark.data.query to retrieve actual data. Common table IDs: "FOLK1A" (quarterly population by region/sex/age/marital status), "BEFOLK1" (annual population by sex/age since 1971), "AKU1" (labour force survey), "NAN1" (GDP and national accounts), "PRIS111" (consumer price index). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does statistics-denmark.data.table_info accept? +

statistics-denmark.data.table_info accepts 1 parameter: table_id. Required: table_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on statistics-denmark.data.table_info? +

Register the Apibase MCP server in PolicyLayer and add a rule for statistics-denmark.data.table_info: 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 Apibase. Nothing to install.

What risk level is statistics-denmark.data.table_info? +

statistics-denmark.data.table_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit statistics-denmark.data.table_info? +

Yes. Add a rate_limit block to the statistics-denmark.data.table_info 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 statistics-denmark.data.table_info completely? +

Set action: deny in the PolicyLayer policy for statistics-denmark.data.table_info. 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 statistics-denmark.data.table_info? +

statistics-denmark.data.table_info is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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