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Gov Govdata Germany

gov_govdata_germany
Read-only

German open government datasets from GovData.de (CKAN API): title, publisher, licence, last modified date, number of resources and dataset link, for a search term. Catalogue metadata only, not the data files. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch text (German or English), 2 to 80 characters
rowsNoDatasets to return, 1 to 10 (default 5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
sourceNo
datasetsNo
checkedAtNo
totalDatasetsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Adds real behavioral context beyond the readOnlyHint/openWorldHint annotations: the exact price ($0.002 USDC per successful call), the payment rails (x402 on Base, Solana or Arc), and that failed calls are not charged. It still leaves pagination/rate-limit behavior unstated, but the cost and charge-condition disclosure is genuinely useful for a paid 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 tightly packed sentences: scope and returned fields come first, followed by the catalogue-vs-files caveat and the pricing note. No filler, and the most selection-critical information is front-loaded.

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?

With an output schema present, the description needn't explain return formatting, and it covers scope, limitation (metadata only), and cost. The only minor gap is that nothing is said about result ordering or result-limit tradeoffs, but an agent has everything needed to call it correctly.

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 both q (2–80 chars, German or English) and rows (1–10, default 5) are already documented. The description only reiterates 'for a search term' and adds no syntax or formatting 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.

Purpose5/5

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

States a specific verb and resource — German open government datasets from GovData.de via the CKAN API — and enumerates the returned fields (title, publisher, licence, last modified, resource count, link). This clearly separates it from the other national open-data siblings such as gov_data_gov_uk and gov_australia_data_gov_au.

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?

Provides clear context: it searches by a search term and returns 'catalogue metadata only, not the data files', which implicitly excludes use for retrieving actual dataset contents. It does not explicitly name which sibling to use for other countries' data or for the underlying files, so it stops short of full when/when-not routing.

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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