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bakom_breitbandatlas_datensaetze

Read-onlyIdempotent

Lists all BAKOM broadband atlas datasets from opendata.swiss, including fixed network, mobile, fiber, and speed tiers for data selection before download or API query.

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 already indicate readOnlyHint=true, destructiveHint=false. Description adds that it returns a full list with specific categories and includes an output schema with fields (titel, layer_id, etc.), providing useful behavioral context beyond annotations.

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?

The description is front-loaded with a clear German summary, followed by structured sections (Args, Returns, Schema). Some redundancy exists (e.g., repeating dataset categories), but overall it is well-organized and not overly verbose.

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 simple parameter (TelekomStatInput) with clear schema descriptions and a provided output schema, the description fully explains the tool's purpose, inputs, and returns, leaving no critical gaps for the agent.

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

Parameters2/5

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

Schema description coverage is 0%, but the schema itself (via $defs) includes descriptions for thema and response_format. The description only briefly mentions 'Thema + Format' without detailed guidance, so it adds minimal value beyond the schema.

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 explicitly states 'Alle verfügbaren BAKOM Breitbandatlas-Datensätze auflisten' and details including fixed, mobile, fiber, speeds, clearly distinguishing it from sibling tools like bakom_aktuell or bakom_broadband_coverage.

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 mentions 'Nützlich für Datenauswahl vor dem Download oder der API-Abfrage', implying when to use, but lacks explicit when-not-to-use or comparison with alternatives. It is only moderately helpful for guiding selection.

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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