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bakom_breitbandatlas_datensaetze

Read-onlyIdempotent

List BAKOM broadband atlas datasets from opendata.swiss covering fixed-line, mobile, fiber, and speed tiers. Filter by theme and format to select datasets for download or API queries.

Instructions

Alle verfügbaren BAKOM Breitbandatlas-Datensätze auf opendata.swiss auflisten.

Gibt eine vollständige Übersicht aller Datensätze des BAKOM-Breitbandatlas zurück – Festnetz, Mobilfunk, Glasfaser, verschiedene Geschwindigkeitsstufen. Nützlich für Datenauswahl vor dem Download oder der API-Abfrage.

Args: params (TelekomStatInput): Thema (z.B. 'breitband') + Format.

Returns: str: Katalog der Breitbandatlas-Datensätze mit Layer-IDs.

Schema: { "datensaetze": [ {"titel": str, "layer_id": str, "url": str, "kategorie": str} ] }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value by specifying that the response is a catalog with titel, layer_id, url, and kategorie fields, and that the tool returns a full overview of datasets covering fixed network, mobile, fiber, and speed levels.

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?

The description is well-structured with a clear one-line summary, a brief elaboration, a documented Args/Returns/Schema section, and all sentences add value without redundancy. Appropriate length for the tool's complexity.

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?

Given the tool has a low parameter count (1), comprehensive parameter description, clear annotations, and an output schema, the description fully covers the tool's usage, behavior, and output structure—leaving no gaps for a typical agent.

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?

Schema description coverage is 0%, but the description details the parameter (Thema and Format) and gives specific search examples for Thema such as 'medien', '5g', 'festnetz', etc., adding significant practical guidance beyond the schema's minimal description.

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 the tool lists all available BAKOM Breitbandatlas datasets from opendata.swiss. It explicitly mentions the resource (datasets), the action (list), and differentiates from siblings by focusing on the catalog overview rather than specific coverage or search.

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 explains the tool is useful for data selection before download or API query, providing clear context for use. However, it does not explicitly state when not to use this tool or name specific sibling alternatives.

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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