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Expat Living Italy

List every dataset behind expatliving.it

list_datasets
Read-only

The catalog: each dataset's source institution, vintage (the period it describes), geographic grain, license, the expatliving.it page that presents it, and whether it is servable (false = still an unverified draft; never quote its values). Use it to say what data exists and where a reader can see it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

readOnlyHint already establishes the safety profile, and the description goes further by explaining the servable flag: false means an unverified draft whose values must never be quoted. That is exactly the kind of non-obvious behavioral caveat an agent needs. It stops short of describing ordering or completeness of the listing.

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?

Two sentences: the first front-loads what the catalog contains, the second states the use case. Nothing is padded, and the parenthetical glosses (vintage, servable) earn their space by disambiguating field meaning.

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?

With no output schema, the description usefully enumerates the returned fields and flags the draft caveat, which covers the essentials for a parameterless read tool. It does not mention result volume or ordering, a minor gap for a catalog endpoint.

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?

The tool takes zero parameters, so the baseline of 4 applies; there is nothing for the description to add or omit on this dimension.

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?

The description names the resource precisely (the dataset catalog) and enumerates the fields it exposes, so an agent knows exactly what comes back. It is clearly distinct from the comuni-oriented siblings (get_comune, search_comuni) by resource, though it never states that contrast explicitly.

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?

"Use it to say what data exists and where a reader can see it" gives a clear, actionable context for invoking the tool. There are no exclusions or named alternatives, but with only two unrelated siblings there is little routing ambiguity to resolve.

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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