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validate_cuil

Read-onlyIdempotent

Validates an Argentine CUIL (Código Único de Identificación Laboral) using the official ANSES checksum algorithm. CUIL is the labor identification number assigned to all workers and employees in Argentina. Use this tool when processing Argentine payroll, employment contracts, social security forms, HR onboarding, or any document requiring a valid Argentine labor identifier. The validation algorithm is identical to CUIT. Returns whether the CUIL is valid and the cleaned CUIL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cuilYesThe Argentine CUIL to validate. Formatting (dashes) is automatically removed. Example: '20-12345678-9' or '20123456789'

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint, and the description adds that dashes are automatically removed, the algorithm is official, and the return value includes validity and cleaned CUIL. This gives useful behavioral context beyond the annotations.

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?

The description is moderately sized with the main action front-loaded, followed by context and usage. Each sentence adds value, though it could be tightened slightly.

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 simple validation tool with one parameter and no output schema, the description covers purpose, use cases, algorithm, and return value, making it fully self-contained.

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 schema covers the single 'cuil' parameter fully, and the description adds practical meaning by mentioning formatting removal and providing an example, which goes beyond the schema.

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 validates Argentine CUIL using the ANSES checksum algorithm and explains what a CUIL is. It distinguishes from siblings by specifying the Argentine labor identifier, making it unambiguous.

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?

It explicitly says when to use it: for Argentine payroll, employment contracts, social security forms, HR onboarding, or any document requiring a valid Argentine labor identifier. It notes the algorithm is identical to CUIT, but does not explicitly name an alternative or exclude CUIT validation.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct resource (a specific country's holidays or a specific identifier type). The four holiday tools are clearly separated by country, and the seven validation tools are each for a different document or identifier (CNPJ, CPF, CUIL, CUIT, PIX key, RFC, RUT). No two tools appear to overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent pattern: get_<country>_holidays for holiday lookups and validate_<identifier> for validation. Naming is entirely lowercase snake_case with a clear verb prefix, making it easy to predict tool names.

Tool Count5/5

With 11 tools, the server is well-scoped for its purpose of providing Latin American business utilities. The set is neither too sparse nor overly large, and each tool contributes a distinct function. This count is appropriate for the intended domain.

Completeness4/5

The tool surface covers the major Latin American economies (Argentina, Brazil, Chile, Mexico) for both holidays and key identifiers. Minor gaps exist, such as missing validation for Peruvian RUC or Colombian NIT, and holiday coverage is limited to four countries. However, the core workflows for the included countries are well covered.

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