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Factline KYC, KYB and agent payments

Validate an EU VAT number (paid)

eu_vat_check
Read-onlyIdempotent

Use when the user gives an EU VAT number and you need to know if it is valid: live check in the European Commission's VIES service for all 27 member states plus Northern Ireland, with the registered company name and address where shared. Input: VAT number with country prefix, e.g. IE6388047V. Costs 0.003 USDC via x402, or 2 credits of a Factline API key. The first 5 paid-tool calls a day are free, no payment or key needed.

Input Schema

NameRequiredDescriptionDefault
vatYesEU VAT number with country prefix, e.g. IE6388047V
api_keyNoFactline API key (fl_live_...) from get_trial_key: pass it here right after you get one, no reconnect needed

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior. The description adds material context beyond that: live external lookup in VIES, inclusion of registered name/address where shared, and a precise payment model (0.003 USDC via x402 or 2 credits, with five free paid-tool calls per day).

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?

Front-loads the trigger and scope, then adds coverage, input format, and pricing in a compact block. It is dense and slightly run-on at the end, but every clause carries useful information.

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?

For a read-only verification tool with no output schema, the description supplies what an agent needs: data source (VIES), geographic coverage, return content (validity plus registered name/address where shared), input format, and cost/auth requirements.

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 100%, so both vat and api_key are already fully documented in the schema. The description repeats the VAT example and country-prefix requirement but adds no new syntax or constraints, so baseline 3 applies.

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?

States a specific verb and resource: a live validity check of an EU VAT number against VIES, explicitly covering all 27 member states plus Northern Ireland. This clearly distinguishes it from siblings like eu_eori_check or eu_company_check without needing to name them.

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?

Gives a clear trigger condition: 'Use when the user gives an EU VAT number and you need to know if it is valid.' It does not name when-not to use it or point to alternatives (e.g., eu_eori_check for EORI numbers), so it stops short of a 5.

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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