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get dataset

get_dataset
Read-only

Static Knowledge Base: open, commercially reusable datasets (world cities, countries, ISHOB topics) by page, by id or by facet filter, with licence and attribution. Free catalogue: /v1/datasets. Paid ($0.0001, x402).

Input Schema

NameRequiredDescriptionDefault
idNoReturn one record by id
keyYesDataset key from /v1/datasets, e.g. world-cities, countries, archive-topics
pageNoPage number (default 0)
continentNoFacet filter (countries), e.g. Europe
country_codeNoFacet filter (world-cities), e.g. FR

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely non-redundant behavior: licence and attribution terms plus a pricing model ('Paid ($0.0001, x402)') and a free catalogue path, which an agent needs to know before invoking a paid call.

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?

Two compact sentences, front-loaded with the resource and access modes, then the catalogue and pricing. The 'Static Knowledge Base:' prefix is mildly cryptic but the rest is dense with useful signal and no filler.

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

Completeness3/5

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

No output schema exists, so the description carries some burden to describe returns; it discloses licence/attribution and cost but not the shape of the returned records or pagination semantics. It is adequate for a read-only fetch tool but leaves return-format gaps.

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 description coverage is 100%, so the schema already defines id, key, page, continent, and country_code in detail. The description's phrase 'by page, by id or by facet filter' only loosely maps to those parameters and adds no syntax or format detail beyond the schema, so baseline 3 applies.

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 names the resource (open, commercially reusable static datasets such as world cities, countries, ISHOB topics) and the access modes (by page, by id, by facet filter), making the retrieval intent clear. It lacks an explicit verb and does not name a distinguishing sibling, but the resource scope is specific enough to separate it from get_document or get_fulltext.

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?

It implies three access modes (page/id/facet) and points to the /v1/datasets catalogue for discovering keys, which is useful context. However, it never states when to prefer this tool over alternatives like get_catalog_page or query_specs, so usage is only inferred.

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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