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vatnode

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by vatnode

Check VAT number format

check_vat_format

Check VAT number format offline using country-specific regex patterns. Validates structure without VIES verification, ideal for quick sanity checks without quota usage.

Instructions

Performs an offline syntactic check of a VAT number against the country-specific regex pattern. Does NOT verify the VAT with VIES — use validate_vat_number for that. Use when the user wants a quick sanity check on the shape of a VAT ID without burning a quota call. Free, no API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vatIdYesA VAT number, with or without spaces/dashes, with or without country prefix (e.g. "DE123456789", "IE 6388047 V").
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that the check is offline, syntactic only, does not verify with VIES, and is free with no API key required. However, it does not describe the return format (e.g., boolean or error), which would enhance transparency further.

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 two sentences, with the first sentence stating the core purpose, the second adding limitations and usage context. Every sentence is valuable, and the structure is 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?

Given the tool has one parameter, no output schema, and no annotations, the description covers purpose, usage, and key behavioral traits well. It is missing explicit mention of the response, but for a simple check tool this is acceptable.

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 coverage is 100%, so the schema already documents the parameter well. The description does not add extra meaning beyond what is in the schema's parameter description. Baseline 3 is appropriate.

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 it performs an offline syntactic check of a VAT number against country-specific regex patterns, and explicitly distinguishes from the sibling tool validate_vat_number. The verb 'check' and resource 'VAT format' are specific and unambiguous.

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?

The description explicitly says when to use (quick sanity check, free, no API key) and when not to use (if VIES verification is needed, use validate_vat_number). It provides clear context and an alternative tool.

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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