Skip to main content
Glama

validate.iban

Validate IBANs with full ISO 13616 checks: country-specific length and mod-97 checksum, returning normalized and grouped forms, country, check digits, and BBAN.

Instructions

Validate an IBAN (International Bank Account Number) with full ISO 13616 checks: country-specific length + ISO 7064 mod-97 checksum, not just regex. Returns valid flag, normalized + 4-char-grouped form, country, check digits, and BBAN. Deterministic, ~85 countries — validate AND canonicalize bank details in one call instead of doing checksum math in an LLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ibanYesIBAN to validate (spaces/hyphens allowed, case-insensitive).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.77.0
  2. Removedv1.76.0
  3. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses that validation includes country-specific length and mod-97 checksum, is deterministic, covers ~85 countries, and returns specific fields. It does not mention side effects or access requirements, which are unlikely for a validation tool.

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 extremely concise with two sentences, front-loading the purpose and summarizing benefits. Every sentence adds value without 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 single-parameter tool with full schema coverage and no output schema, the description provides sufficient context about what the tool returns and its deterministic nature, making it complete for an agent to use correctly.

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 coverage is 100% with a single parameter. The description adds clarity by noting that spaces/hyphens are allowed and input is case-insensitive, which goes beyond the schema's type description.

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 IBANs with full ISO 13616 checks, distinguishing it from simple regex validation. It also lists the return fields, making the purpose 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?

The description advises using this tool instead of doing checksum math in an LLM, implying when to use it. However, it does not explicitly state when not to use it or compare to sibling validate tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/2s-io/sdk'

If you have feedback or need assistance with the MCP directory API, please join our Discord server