Skip to main content
Glama

Eurostat

by io.github.pipeworx-io

List Datasets

list_datasets
Read-onlyIdempotent

Return a curated list of ~19 popular Eurostat dataset codes grouped by theme (Economy, Government, Prices, Labour, Wages, Income, Industry, Population, Migration, Trade, Energy, Environment, Tourism). No parameters required; use the returned codes with get_dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYesUsage note about the curated list
datasetsYesCurated list of popular Eurostat datasets

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds value by specifying that the output is a curated list of ~19 codes grouped by theme from Eurostat, and that no parameters are needed. This goes beyond annotations by clarifying the data source and structure.

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

Conciseness5/5

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

Two succinct sentences with no wasted words. The first sentence conveys the core purpose and the second gives usage guidance. It is well front-loaded and easy to parse.

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

Completeness5/5

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

For a simple no-parameter tool with an output schema, the description is complete. It explains what the tool returns, the source (Eurostat), the grouping, approximate count, and how to use the result (with get_dataset). No critical information is missing.

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

Parameters4/5

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

There are no parameters (0 params). Per guidelines, baseline is 4. The description mentions 'No parameters required' which aligns with the empty schema. No additional parameter semantics needed.

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

Purpose5/5

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

The description clearly states it returns a curated list of ~19 popular Eurostat dataset codes grouped by theme. It uses 'Return' as a clear verb and specifies the resource (datasets) and scope (Eurostat). It distinguishes from siblings like get_dataset and search_datasets by mentioning that the codes are for use with get_dataset.

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

Usage Guidelines4/5

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

The description explicitly says 'No parameters required' and instructs to use the returned codes with get_dataset. This provides clear context for when to use the tool. However, it does not explicitly mention when to use alternatives like search_datasets for broader searching, which is a minor gap.

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

All Eurostat toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation2/5

The set is heavily overlapped: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all serve similar factual-lookup purposes with fuzzy boundaries. The Polymarket tools and visibility tools also overlap substantially, making tool selection genuinely ambiguous despite long descriptions.

Naming Consistency3/5

All names are lowercase snake_case, which is internally consistent, but there is no predictable verb_noun pattern: verb styles vary wildly (ask, get, list, search, recall, remember, forget, subscribe). The 'ask_pipeworx_beta' suffix also breaks naming convention.

Tool Count1/5

34 tools is far too many for a server named Eurostat, and only 3 of them (get_dataset, list_datasets, search_datasets) actually serve Eurostat data. The rest is a sprawling generic Pipeworx utility surface including prediction markets, memory, subscriptions, visibility checks, and dependency scanning, which is a severe scope mismatch.

Completeness2/5

For the Eurostat-specific portion, search/list/get covers basic dataset retrieval, but the server's broader surface is a grab-bag of unrelated capabilities with no coherent domain. The true domain is unclear, and the Eurostat side lacks deeper operations like metadata lookup or bulk/time-series expansion.

Resources