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validate_cbu_ar

Read-onlyIdempotent

Validates Argentine CBU bank account numbers using the official weighted modulo-10 checksum to ensure correct electronic transfers.

Instructions

Validates an Argentine CBU (Clave Bancaria Uniforme) — the 22-digit standardized bank account identifier used for electronic transfers in Argentina, as defined by BCRA (Banco Central de la República Argentina). Applies the official weighted modulo-10 checksum algorithm validated in two blocks: the 8-digit bank/branch block and the 14-digit account block. Returns { valid: boolean, cbu: string, bank_code: string } or { valid: false, reason: string }. Use when processing Argentine wire transfers, validating supplier bank accounts, or building Argentine payment flows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cbuYes22-digit Argentine CBU bank account number. Example: '0720309988000019834160'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
cbuNo
bank_codeNo
reasonNo
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds the weighted modulo-10 checksum algorithm, two-block validation, and the return format including bank_code extraction. No contradictions.

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?

Description is compact, starting with the action, then explaining the identifier, algorithm, return format, and usage scenarios. Every sentence adds value with no redundancy.

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 tool with one parameter and existing annotations/output schema, the description fully covers validation logic, return fields, and usage context. No gaps remain.

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?

Input schema has 100% coverage with a description for the single parameter. The description reinforces that it must be a 22-digit string and provides an example, plus explains the algorithm applied to it.

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?

Clearly states it validates an Argentine CBU, specifies the 22-digit format, checksum algorithm, and return fields. Distinguishes from sibling tools by targeting a specific Argentine identifier.

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 states when to use the tool: processing Argentine wire transfers, validating supplier bank accounts, or building Argentine payment flows. Does not explicitly mention when not to use, but the context is clear.

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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