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ENTIA-IA

ENTIA Entity Verification

Official

verify_vat

Validate EU VAT numbers in real-time using the VIES database. Returns legal name, registered address, and country for any valid VAT ID.

Instructions

Verify an EU VAT number via VIES (live, 27 member states, sub-second).

Use when: user asks "is this VAT valid?", "verify ESA28015865", "is this EU company registered?". Returns: valid (bool), legal name, registered address, country.

Examples: verify_vat("ESA28015865") → Telefonica SA — valid verify_vat("FR12345678901") → French company VAT check

Args: vat_id: Full EU VAT with country prefix (ESA28015865, FR12345678901, DE123456789)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vat_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries burden. It describes real-time live check, speed (sub-second), and return fields (valid, legal name, address, country). Lacks details on rate limits or error handling.

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?

Well-structured with purpose, usage, returns, and args. Some redundancy (examples repeated), but overall efficient and front-loaded.

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 one parameter and an output schema (implied), description explains return values adequately. Could mention VIES availability, but sufficient for a simple verification tool.

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?

Only one parameter, vat_id, with description explaining required format (country prefix, examples). Schema coverage is 0%, so description fully compensates with format and examples.

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 states the tool verifies EU VAT numbers via VIES, with specific verb and resource, and distinguishes from sibling tools like borme_lookup and entity_lookup.

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?

Explicitly tells when to use: when user asks about VAT validity, verification, or EU company registration. Provides examples but does not explicitly mention when not to use, though context implies it's VAT-specific.

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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