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smlhus1

datakilder-mcp

by smlhus1

Eurostat: hent tall

eurostat_data

Fetch Eurostat dataset rows. Filter by dimensions like geo, unit, and coicop to get only needed data.

Instructions

Henter tall fra et Eurostat-datasett som ferdige rader. Filtrer på dimensjonene (geo, unit, coicop ...) for å holde svaret lite.

Kilde: Eurostat (EU-statistikk). Lisens: Eurostat copyright/licence policy (gjenbruk tillatt med kildehenvisning).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtreNoDimensjonsfiltre, f.eks. { geo: "NO", coicop: "CP0712", unit: "I15" }
datasettYes
sisteperioderNoAntall siste perioder
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the response can be large without filtering and includes license/source info. However, it does not describe the response structure or any error/rate-limit behaviors, which would be expected for a data-fetching tool.

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 concise sentences plus a license note. The purpose is front-loaded in the first sentence, and the filtering guidance is in the second. No unnecessary verbosity.

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

Completeness2/5

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

Because there is no output schema, the description should explain what 'ferdige rader' means (fields, format), but it does not. It also fails to describe the crucial 'datasett' parameter or provide examples of dataset identifiers, leaving significant gaps for the agent.

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?

The schema already describes 'filtre' and 'sisteperioder', but the description adds no new parameter details beyond the example already present in the schema. The required 'datasett' parameter remains undescribed in both schema and description, and the description does not compensate for this gap.

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 uses the specific verb 'Henter' (fetches) with resource 'Eurostat-datasett' and output 'ferdige rader' (ready rows). This clearly distinguishes it from sibling 'eurostat_info' which likely provides dataset metadata, and from other statistics tools like ssb_tabell_verdier.

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

Usage Guidelines3/5

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

The description advises filtering on dimensions to keep the response small, which is useful context. However, it does not explicitly state when to use this tool versus alternatives like eurostat_info or SSB tools, and no exclusions or alternative recommendations are provided.

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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