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Costruisci la citazione Markdown di un articolo

normattiva_link
Read-onlyIdempotent

Create a Markdown citation link for an Italian legal article, without retrieving the article text, while verifying the act exists to avoid false URNs. Ideal when only the link is needed in a legal document.

Instructions

Costruisce [testo](permalink) per un articolo, stessi parametri di normattiva_leggi_articolo ma SENZA restituirne il testo integrale — usalo quando serve solo il link da inserire in un parere o in un atto. Verifica l'esistenza dell'atto per difetto (verifica=true): il permalink del portale risponde 200 anche a URN sbagliati, quindi un URN NON si considera valido solo perché costruito o perché il link è cliccabile — solo questo controllo lo prova. Con verifica=false è più veloce ma non garantito; se la verifica fallisce o trova un abrogato/preambolo, l'esito lo dice in avviso e non va ignorato.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fonteYes
vigenzaNo
articoloYes
verificaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
avvisoNo
markdownYes
verificatoYes
Behavior5/5

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

Beyond the read-only/idempotent annotations, the description discloses a non-obvious behavior: the portal permalink returns HTTP 200 even for wrong URNs, so verification is the only real proof of validity. It also warns that failures, abrogated acts, or preamble results are communicated in `avviso` and should not be ignored.

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?

Three dense sentences, each earning its place: output and use case, verification caveat, and warning about `avviso`. The key routing information is front-loaded, and there is no filler.

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?

The description covers routing, safety, output shape, and the important behavioral caveats, and an output schema exists. The only material shortfall is that the required parameters are not fully self-described and depend on the sibling reference, which prevents a perfect completeness score.

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 description coverage is 0%, so the description carries most of the burden. It clearly explains `verifica` and its trade-offs, and it references `normattiva_leggi_articolo` for the shared parameters. However, `fonte`, `vigenza`, and `articolo` are never directly defined, leaving the agent to resolve the sibling reference or infer formats.

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 concrete output (`[testo](permalink)` for an article) and explicitly distinguishes the tool from normattiva_leggi_articolo by noting it does NOT return the full text. This makes the tool's role unambiguous and immediately tells an agent which tool is which.

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?

It explicitly says to use this tool 'quando serve solo il link da inserire in un parere o in un atto' and names the sibling tool that returns the full text. It also gives conditional guidance on when `verifica=true` vs `verifica=false` is appropriate.

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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