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validate_nit_co

Read-onlyIdempotent

Validates Colombian NIT tax IDs using DIAN checksum algorithm. Returns validity and verification digit for electronic invoicing and supplier registration.

Instructions

Validates a Colombian NIT (Número de Identificación Tributaria) — the tax identification number for companies and legal entities in Colombia, issued by the DIAN (Dirección de Impuestos y Aduanas Nacionales). Applies the official weighted modulo-11 checksum algorithm with the DIAN verification digit. Returns { valid: boolean, nit: string, verification_digit: string } or { valid: false, reason: string }. Use when processing Colombian electronic invoices (factura electrónica), supplier registration, or DIAN compliance workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nitYesColombian NIT with or without verification digit. Example: '900123456-7' or '9001234567'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
nitNo
verification_digitNo
reasonNo
Behavior5/5

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

Annotations provide readOnlyHint and idempotentHint, but the description adds the specific algorithm ('weighted modulo-11 checksum') and return structure, which are not obvious from annotations alone. No contradiction.

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: first defines the tool, second explains usage and return format. No redundant information. Front-loaded with the core purpose.

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?

Given the simple input (one string parameter) and presence of an output schema, the description fully covers the tool's behavior, algorithm, use cases, and return structure. No gaps.

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% and already explains the parameter format. The description adds context about the algorithm but does not further clarify parameter semantics beyond the schema. 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 that this tool validates a Colombian NIT (tax identification number) for companies. It distinguishes itself from sibling validation tools like validate_cuit or validate_rfc_mx by specifying the exact identifier and country.

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?

The description explicitly states when to use: 'processing Colombian electronic invoices, supplier registration, or DIAN compliance workflows.' It does not explicitly mention when not to use, but the context of sibling tools implies the exclusivity.

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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