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allerte_protezione_civile

Check official Italian Civil Protection weather alerts for any municipality. Get yellow, orange, or red warnings for storms, hydraulic, and hydrogeological risk to know if it's dangerous to go out.

Instructions

Allerta meteo ufficiale della Protezione Civile per un comune italiano (allerta gialla, arancione o rossa per temporali, rischio idraulico e rischio idrogeologico). Usalo quando l'utente chiede se c'e' un'allerta meteo, se e' pericoloso uscire o se ci sono avvisi per il maltempo. Il parametro comune e' il nome esatto del comune, per esempio "Gallarate".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
comuneYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral burden. It explains the alert levels and risk categories, which adds meaningful context. However, it does not disclose what happens when there is no alert, how current the data is, or whether the tool is read-only, leaving some behavior implicit.

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 compact and front-loaded: it opens with the core purpose, then states when to use the tool, and ends with parameter guidance. Each sentence earns its place; there is no filler or repetition.

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?

For a single-parameter tool with no output schema, the description covers the essential context: what the tool does, when to call it, and how to fill the parameter. It could add a small note about behavior when no alert exists, but overall it is sufficiently complete for the tool's simplicity.

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

Parameters5/5

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

The schema provides only the parameter name 'comune' with no description, so schema coverage is 0%. The description fully compensates by explaining that comune is 'il nome esatto del comune' and gives a concrete example ('Gallarate'). This is precisely the guidance an agent needs to populate the parameter correctly.

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 states a specific resource ('Allerta meteo ufficiale della Protezione Civile') and a clear scope (per un comune italiano) with concrete alert types. It is immediately distinguishable from sibling weather tools like meteo_previsioni and meteo_adesso because it is specifically about official warnings, not forecasts or current conditions.

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 explicitly tells the agent when to use it: when the user asks about a weather alert, whether it is dangerous to go out, or about bad weather warnings. It does not mention alternative tools or exclusions, but for this simple one-parameter tool the usage context is clear enough.

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