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it_ga_get_decision

Read-onlyIdempotent

Fetch the full text of an Italian administrative court decision from its document URL, providing the complete ruling needed for citation and legal analysis.

Instructions

Fetch the full text of one administrative decision, live, by its document URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_urlYesthe ``document_url`` of an ``it_ga_search`` hit, verbatim (an ``https://mdp.giustizia-amministrativa.it/visualizza/?...`` URL).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnNo
annoNo
ecliNo
testoNo
numeroNo
citationNo
nrg_annoNo
tipologiaNo
nrg_numeroNo
source_urlNo
dataset_noteNoSource: Giustizia Amministrativa (www.giustizia-amministrativa.it), the official public decision search of the Italian administrative jurisdiction - Consiglio di Stato (501K+ provvedimenti), C.G.A.R.S. (53K+) and the 29 regional TAR seats (3.4M+ portal-wide), queried live, keyless, on every call. Search hits carry the court's NATIVE ECLI; full texts are the portal's own GA XML. Italian official legal texts are outside copyright (art. 5, l. 633/1941). This connector relays individual decisions on request; it does not bulk-harvest. The portal's year filter is applied client-side (see tool docs); total_found is the upstream, year-unfiltered total.
document_urlNo
data_pubblicazioneNo
Behavior4/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds the meaningful trait 'live' (no caching) and 'full text' (complete document content), which goes beyond the structured annotations without contradicting them.

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?

A single, front-loaded sentence that communicates the essential purpose without any filler. Every word adds meaning.

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?

With one parameter, a detailed schema description, an output schema present, and comprehensive annotations, the description sufficiently covers what is needed to select and invoke the tool. The 'live' and 'one decision' details round out the behavioral context.

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 coverage is 100% and the parameter description already provides excellent detail, including the exact format and provenance from it_ga_search. The description reinforces this by specifying 'by its document URL', adding a small but useful link to the workflow.

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 identifies the action (fetch), the resource (full text of one administrative decision), and the key qualifier (live, by document URL). It distinguishes this from sibling search and get tools by referencing the URL from it_ga_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 parameter description explains that the input is a verbatim document_url from an it_ga_search hit, making the intended workflow clear. It doesn't explicitly name alternatives or exclusions, but the context of a search-then-fetch flow is well implied.

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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