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ibanchecker-mcp

by koraykoylu
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JavaScript
Hybrid

Get Country IBAN Format

get_iban_format
Read-onlyIdempotent

Get a country's IBAN structure—length, BBAN layout, example, and SEPA status—for input masks or validation troubleshooting.

Instructions

Return the IBAN format specification for a country, covering 92 supported IBAN-using countries.

Returns JSON describing the country's total IBAN length, the BBAN layout (bank code, branch code, and account number positions and lengths), an example IBAN, and the SEPA-membership flag. Use this to understand or display how a country's IBAN is structured, to build input masks, or to explain a validation failure, not to validate a specific number (use validate_iban for that). An unsupported or unknown country code returns an error result describing the problem. Works without an API key, up to 100 requests an hour per IP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
country_codeYesTwo-letter ISO 3166-1 alpha-2 country code, case-insensitive (e.g. 'DE' for Germany, 'GB' for the United Kingdom, 'FR' for France).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.2.0
    • changedInput schema / properties / country_code / description
      Previous value: -"Two-letter ISO 3166-1 country code (e.g. DE, GB, FR)"New value: +"Two-letter ISO 3166-1 alpha-2 country code, case-insensitive (e.g. 'DE' for Germany, 'GB' for the United Kingdom, 'FR' for France)."
    • addedInput schema / properties / country_code / pattern
      Added value: +"^[A-Za-z]{2}$"
  2. First observedv1.1.2

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds value beyond that: no API key required, a 100-requests/hour-per-IP rate limit, and explicit error behavior for unsupported country codes.

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-loaded with the core purpose, then usage and constraints, with no filler sentences. It is somewhat long because it enumerates the returned fields, but each clause carries information an agent needs.

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?

There is no output schema, yet the description enumerates what the JSON contains (total length, BBAN layout, example IBAN, SEPA flag). Combined with rate-limit and error-behavior disclosure, an agent has everything needed to call it correctly.

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% for the single country_code parameter, so the schema already documents the ISO 3166-1 alpha-2 format, case-insensitivity and examples. The description adds no syntax or format detail beyond the schema, so the 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 ('Return the IBAN format specification for a country') and immediately scopes it with the supported-country count. It clearly distinguishes itself from validate_iban by naming the sibling it is not.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit use cases ('understand or display how a country's IBAN is structured, to build input masks, or to explain a validation failure') and an explicit exclusion with the correct alternative ('not to validate a specific number -- use validate_iban for that'). Routing is unambiguous.

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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