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Validate IBAN, BIC or LEI

validate_identifier
Read-onlyIdempotent

Validate a single financial identifier (IBAN, BIC, or LEI) and get a clear pass/fail result.

Instructions

Validate a single financial identifier (IBAN, BIC, or LEI).

Use this for a one-off identifier check with a clear pass/fail. To
validate identifiers embedded across a whole batch of account records,
prefer ``validate_records`` rather than calling this per field.

Returns ``{"kind": str, "value": str, "valid": bool}``.

Args:
    kind: One of ``"iban"``, ``"bic"``, or ``"lei"`` (case-insensitive).
    value: The identifier value to check.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesThe financial identifier scheme to validate against (case-insensitive). Must be exactly one of: 'bic', 'iban', 'lei'.
valueYesThe identifier value to check, e.g. an IBAN, BIC/SWIFT code, or LEI; validated according to the given kind.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description's role is lighter. It adds the return format {'kind', 'value', 'valid'}, which is useful context for the agent. 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 concise (5 sentences) with front-loaded purpose, no wasted words. Every sentence adds value, including the return format and parameter list.

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 2 parameters and no output schema, the description fully covers what the tool does, when to use it, and what it returns. The explicit return object compensates for the lack of an output schema.

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%, so the baseline is 3. The description restates the parameters with minor additions (case-insensitivity already in schema), but does not add significant new meaning 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 verb 'Validate' and the resource 'single financial identifier (IBAN, BIC, or LEI)', distinguishing it from the sibling tool 'validate_records' which handles batch validation. It is specific and leaves no ambiguity.

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?

Explicitly says 'Use this for a one-off identifier check' and directs to use 'validate_records' for batch records, providing clear when-to-use and when-not-to-use guidance with a named alternative.

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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