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malkreide

swiss-environment-mcp

by malkreide

env_avalanche_bulletin

Read-only

Retrieve current avalanche danger levels (1–5) for Swiss regions from the SLF bulletin. Supports tour planning and safety assessment with language and region filtering.

Instructions

Ruft das aktuelle Lawinenbulletin des SLF ab (Warnstufen je Region).

Gefahrenstufen nach europäischer EAWS-Skala 1–5 (Gering bis Sehr gross). Ausserhalb der Lawinensaison wird kein Bulletin publiziert – dann meldet das Tool explizit «kein aktives Bulletin» (kein Fehler).

Aktuelle Lawinengefahr je Warnregion für Tourenplanung oder Sicherheitsbeurteilung. EAWS-Skala 1–5. Saisonal (Winter). Datenquelle SLF (CC BY 4.0). Für Schneehöhen → env_snow_current.

Args: params (AvalancheBulletinInput): - language: 'de', 'fr', 'it', 'en' - region: Regionsname/-code (Teilstring) zum Filtern

Returns: str: Warnstufen je Region oder Hinweis, dass kein Bulletin aktiv ist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Describes behavior beyond annotations: seasonality, explicit 'no active bulletin' message, data source SLF with CC BY 4.0, and EAWS scale. Annotations already indicate read-only and non-destructive, and description aligns.

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?

Well-structured with main description, use_case, important_notes, and Args. Every sentence is informative; no fluff. Front-loaded with core purpose.

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's low complexity (1 param, output schema exists), the description covers all key aspects: purpose, usage, behavior, parameter info, and references to license. It is complete enough for correct invocation.

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% per context, but the description provides an Args section explaining both parameters: language options and region as substring filter. This adds value, though it does not elaborate further beyond the schema's own descriptions.

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 it retrieves the current avalanche bulletin from SLF with warning levels per region. It specifies the EAWS scale 1-5 and distinguishes from sibling tool env_snow_current for snow depths.

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

Usage Guidelines5/5

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

Explicitly says when to use: for tour planning/safety assessment. Notes that outside winter season the tool returns 'no active bulletin' (not an error). Recommends env_snow_current for snow height data.

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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