IBAN Validator
Server Details
Validate IBAN bank account numbers (format + mod-97 checksum). Returns whether the IBAN is valid.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.6/5 across 1 of 1 tools scored.
Seul un outil existe, donc aucune ambiguïté possible entre outils.
Un seul outil, nommé de manière claire et cohérente avec son rôle.
Le nombre d'un outil est approprié pour un validateur IBAN simple, mais pourrait être étendu (ex. génération, détection de pays).
L'outil couvre l'opération principale (validation) mais manque de fonctionnalités complémentaires (formatage, extraction BIC).
Available Tools
1 toolvalider_ibanAInspect
Vérifie si un numéro IBAN est valide (format + checksum mod-97).
| Name | Required | Description | Default |
|---|---|---|---|
| iban | Yes | Le numéro IBAN à vérifier, ex: BE68539007547034 |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the checks performed (format + checksum mod-97) but does not reveal behavioral traits such as whether it makes external calls, logs data, or has rate limits. Annotations are empty, so the description carries the full burden, yet it is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is concise and front-loaded with the purpose. Every word is necessary; no wasted content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
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 is adequate. It could mention the return format or behavior on invalid input, but the core purpose is clear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a description and example for the only parameter. The tool description adds no additional meaning beyond what the schema provides. A score of 3 is appropriate as baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: validating an IBAN by checking format and mod-97 checksum. It uses a specific verb (Vérifie) and resource (numéro IBAN), and there are no sibling tools requiring differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Since there are no siblings, it's less critical, but the description lacks any context about appropriate usage or prerequisites.
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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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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