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Glama

Meteo Stazioni

meteo_stazioni

Get weather forecasts for railway stations in a given Italian region by region code, with a clear note when data is unavailable for that area.

Instructions

Restituisce le previsioni meteo per le stazioni di una specifica regione (es. 1=Lombardia, 13=Toscana). Nota: l'API ufficiale potrebbe restituire un insieme vuoto per alcune regioni se il dato non è disponibile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codice_regioneYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses an edge case (the official API may return an empty set for some regions), but says nothing about authentication, rate limits, or what the response contains.

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 sentences, front-loaded with the core behavior and followed by the caveat. No filler; only the caveat sentence could be tightened.

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?

The output schema covers return values, so the description need not explain them, and the empty-result caveat is a helpful addition. However, it leaves out how to obtain valid region codes and any error or permission behavior, which matters for a tool with a bare 0%-documented schema.

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 coverage is 0% for the single codice_regione parameter, so the description must compensate. It supplies two example values (1=Lombardia, 13=Toscana), which adds real meaning, but gives no full code list or pointer to the sibling codice_regione_stazione tool for lookup.

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?

States a specific verb+resource: returns weather forecasts for stations within a given region, which distinguishes it from sibling tools like elenco_stazioni_regione (station listing) and stato_treno. It does not explicitly name a sibling, so it stops short of a 5.

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

Usage Guidelines2/5

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

No indication of when to use this versus cerca_stazione, dettaglio_stazione, or elenco_stazioni_regione, nor any prerequisites. The only guidance is an implicit example of the region code format.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.