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soulnai

nl-opendata-mcp

by soulnai

cbs_save_dataset_to_duckdb

Idempotent

Save a Dutch CBS open dataset to DuckDB for efficient SQL-queryable storage and fast analysis.

Instructions

Saves a dataset to a DuckDB database for efficient querying.

Args: params: SaveToDuckDBInput containing: - dataset_id (str): Dataset ID (e.g., '85313NED') - table_name (str, optional): Table name (default: dataset_id) - fetch_all (bool): Fetch all records (default: True) - select (List[str], optional): Column names to fetch

Returns: str: Success message with database path, table name, and row count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYesInput model for saving to DuckDB.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate idempotency (idempotentHint=true) and mutation (readOnlyHint=false), which the description aligns with. However, the description does not disclose behavior on duplicate table names or error conditions, leaving gaps despite annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences plus a structured Args/Returns section. It avoids verbosity but still includes schema-like details that are somewhat redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has good schema coverage and annotations. The description covers input parameters and return type adequately for a save operation. However, it omits potential performance considerations or data size limits.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description repeats the schema information without adding significant new meaning. The purpose of 'efficient querying' is noted, but parameters are well-defined in the schema already.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool saves a dataset to a DuckDB database for efficient querying. However, it does not distinguish from the sibling tool 'cbs_save_dataset', which may have a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance is provided on when to use this tool versus alternatives like 'cbs_save_dataset' or 'cbs_query_dataset'. The description implies usage for DuckDB queries but lacks explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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