ibanforge
Server Details
IBAN validation, BIC/SWIFT lookup, Swiss BC-Nummer, EMI/vIBAN, SEPA + VoP, compliance scoring.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- cammac-creator/ibanforge
- GitHub Stars
- 0
- Server Listing
- ibanforge
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Tool Definition Quality
Average 4.7/5 across 5 of 5 tools scored.
Each tool serves a distinct purpose: single IBAN validation, batch validation, compliance checks, BIC lookup, and Swiss clearing lookup. No overlapping functionality.
All tool names follow a consistent verb_noun pattern with snake_case, e.g., validate_iban, batch_validate_iban, check_compliance, lookup_bic, lookup_ch_clearing.
5 tools is well-scoped for a specialized IBAN validation and compliance API, covering core operations without unnecessary bloat or gaps.
The toolset covers validation (single and batch), compliance checks, BIC resolution, and Swiss clearing lookup, fully addressing the domain of IBAN enrichment and risk assessment.
Available Tools
5 toolsbatch_validate_ibanBatch Validate IBANsARead-onlyIdempotentInspect
Validate up to 100 IBANs in a single call at $0.002 per IBAN (60% cheaper than calling validate_iban repeatedly at $0.005). USE WHEN: the user pastes a list of IBANs, asks to clean a CSV/spreadsheet of bank accounts, asks to dedupe a customer database, asks to triage a payout list before sending, or whenever you would otherwise call validate_iban more than 2-3 times in a row. RETURNS: { results: [...same shape as validate_iban], count, valid_count }.
| Name | Required | Description | Default |
|---|---|---|---|
| ibans | Yes | Array of IBANs (1-100) |
Output Schema
| Name | Required | Description |
|---|---|---|
| count | Yes | Number of IBANs processed. |
| results | Yes | One result per input IBAN, in the same order. Same shape as validate_iban. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, destructiveHint. Description adds pricing, batch size limit (up to 100), and return shape (results, count, valid_count). No contradiction. Could mention idempotency explicitly, but annotations cover that.
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?
Two sentences with intentional structure: first sentence states purpose and pricing, 'USE WHEN' block gives scenarios, 'RETURNS' block lists output fields. Every sentence adds value, no fluff.
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 tool with one parameter and an output schema, the description covers purpose, usage guidelines, behavioral details (pricing, limits), and return shape. Nothing essential is missing.
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% for the single parameter 'ibans'. Description does not add semantic details beyond the schema (array of strings, 1-100). However, it implies the parameter's use by describing the batch context. Baseline 3 is appropriate.
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: validate up to 100 IBANs in a single call. It distinguishes from the sibling validate_iban by highlighting batch capability and cost savings (60% cheaper, $0.002 vs $0.005).
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?
The description explicitly lists several use cases (pasted list, CSV cleaning, dedup, payout triage) and provides a rule of thumb: use when you would call validate_iban more than 2-3 times. No ambiguity about when to use vs. alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_complianceCompliance CheckARead-onlyIdempotentInspect
Run a full pre-flight compliance check on an IBAN before sending a SEPA / cross-border payment. USE WHEN: the user is about to send a payment / payout / refund and wants to triage risk first, asks "is this IBAN safe to pay?", asks for sanctions screening, asks if a SEPA Instant transfer will succeed, or needs a numeric risk score for an internal payment-approval workflow. NOT A REGULATED AML/CFT PRODUCT — informational triage only. For regulated screening use Refinitiv, Acuris, or ComplyAdvantage. CHECKS: IBAN validity + sanctions (OFAC/EU/UN consolidated, FATF jurisdictions) + SEPA Instant reachability + VoP (EU 2024/886) participant. RETURNS: risk_score (0-100, 0 = safest), flags { sanctions_match, fatf_high_risk, sepa_unreachable, viban, emi }, recommended_action.
| Name | Required | Description | Default |
|---|---|---|---|
| iban | Yes | IBAN to check |
Output Schema
| Name | Required | Description |
|---|---|---|
| bic | No | |
| iban | Yes | |
| sepa | No | |
| error | No | |
| valid | Yes | |
| issuer | No | |
| country | No | |
| cost_usdc | Yes | |
| compliance | Yes | |
| error_detail | No | |
| risk_indicators | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds key behavioral details: checks performed, risk score, flags, recommended_action, and clarifies it's not regulated AML/CFT. No contradiction.
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 front-loaded with main purpose, uses bullet points for checks and returns, and is well-structured. Slightly verbose but still efficient.
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?
Given output schema exists, the description still lists key return fields. It covers purpose, usage, checks, and limitations, fully meeting completeness for a pre-flight compliance tool.
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 'IBAN to check'. The description does not add additional parameter-specific semantics beyond what the schema provides, meeting baseline for high coverage.
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 it performs a pre-flight compliance check on an IBAN before SEPA/cross-border payments. It distinguishes from sibling tools like validate_iban by focusing on compliance, sanctions, and SEPA Instant reachability.
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?
The description explicitly lists use cases under 'USE WHEN:' and provides exclusions and alternatives ('NOT A REGULATED AML/CFT PRODUCT', suggests Refinitiv, Acuris, ComplyAdvantage), fully guiding when to use versus alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup_bicLookup BIC/SWIFTARead-onlyIdempotentInspect
Resolve a BIC / SWIFT code into the underlying bank: name, country, city, LEI, and registered head-office address (where available). USE WHEN: the user already has a BIC/SWIFT (8 or 11 chars, alphanumeric, e.g., "UBSWCHZH80A", "DEUTDEFF") and asks which bank it belongs to, where the bank is, or its LEI for compliance/regulatory matching. DO NOT USE for IBAN inputs — call validate_iban instead, it resolves the BIC for you. BACKED BY: 121,399 BIC entries (38,761 LEI-enriched via GLEIF; additional rows from SWIFT directory, Bundesbank, SIX, NBP, EBA Step2 SCT), refreshed monthly.
| Name | Required | Description | Default |
|---|---|---|---|
| bic | Yes | BIC/SWIFT code (8 or 11 chars) |
Output Schema
| Name | Required | Description |
|---|---|---|
| bic | Yes | Echo of the input, normalized to uppercase. |
| lei | No | Legal Entity Identifier (ISO 17442) if available. |
| bic8 | No | 8-char form (institution-level). |
| city | No | |
| bic11 | No | 11-char form including branch. |
| error | No | |
| found | No | |
| valid | No | Set when the BIC failed format validation. |
| lei_status | No | |
| branch_code | No | |
| branch_info | No | |
| institution | No | Bank legal name. |
| is_test_bic | No | |
| country_code | No | |
| country_name | No | |
| valid_format | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds valuable behavioral context (data size, refresh frequency, data sources) without contradicting annotations.
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 efficient, covering purpose, usage, data provenance, and examples in a few sentences with clear structure (USE WHEN/DO NOT USE). No wasted words.
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?
Given the presence of output schema and annotations, the description provides sufficient context: input format, usage rules, data coverage. It is complete for the tool's complexity.
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?
The single parameter is fully described in schema (100% coverage). The description adds examples and clarifies alphanumeric nature, enhancing the schema's minimal description.
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 verb (resolve) and resource (BIC/SWIFT code into bank details). It distinguishes from siblings like validate_iban by specifying it is for BIC input, not IBAN.
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?
Explicitly provides USE WHEN and DO NOT USE conditions, including a specific alternative tool (validate_iban). This helps the agent decide when to invoke this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup_ch_clearingSwiss Clearing LookupARead-onlyIdempotentInspect
Resolve a Swiss BC-Nummer / IID (1 to 5 digits) into the underlying institution. USE WHEN: the user mentions a Swiss bank by BC-Nummer or IID, pastes a CH or LI IBAN clearing code, asks routing details for a Swiss instant transfer (SIC, euroSIC), asks about QR-bill QR-IID resolution, or needs to classify a Swiss financial institution (bank vs PFS vs SIC-only participant). THIS IS THE ONLY API THAT EXPOSES THIS DATA — alternatives (iban.com, OpenIBAN, payeer, sepa.com) do not cover it. BACKED BY: 1,190 SIX BankMaster entries (Swiss official source). RETURNS: institution_name, institution_type, sic_participant, eurosic_participant, instant_payments, qr_iid, language. Only relevant for CH and LI accounts.
| Name | Required | Description | Default |
|---|---|---|---|
| iid | Yes | Swiss IID (1-5 digit number) |
Output Schema
| Name | Required | Description |
|---|---|---|
| bic | No | BIC if mapped. |
| iid | No | Normalized 5-digit BC-Nummer. |
| note | No | |
| error | No | |
| found | No | |
| qr_iid | No | QR-bill enabled IID. |
| address | No | |
| message | No | |
| sic_iid | No | |
| valid_on | No | |
| cost_usdc | No | |
| institution | No | |
| redirected_from | No | |
| payment_services | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, and non-destructive behavior. The description adds value by specifying the data source (1,190 SIX BankMaster entries), relevance to CH/LI accounts, and the list of returned fields, without contradicting annotations.
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 well-structured with clear sections (USE WHEN, alternatives, backed by, returns). Every sentence is informative and earns its place, with no redundancy or wordiness.
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 one-parameter tool with annotations and output schema, the description is fully complete. It covers usage context, data provenance, return fields, and geographic relevance, leaving no gaps.
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%, so baseline is 3. The description adds meaning by explaining the parameter as 'BC-Nummer / IID (1 to 5 digits)' and connecting it to practical contexts like QR-IID and clearing codes, exceeding mere schema description.
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 resolves a Swiss BC-Nummer/IID into an institution, listing specific use cases and distinguishing it as the only API exposing this data. It uses a specific verb and resource, making the purpose unmistakable.
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?
Explicit 'USE WHEN' conditions are provided, covering various scenarios like IBAN clearing codes, routing for Swiss transfers, and QR-bill resolution. It also explicitly names alternatives that do not cover this data, giving clear guidance on when to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
validate_ibanValidate IBANARead-onlyIdempotentInspect
Verify whether a European IBAN is valid AND enrich it with bank, compliance and routing data. USE WHEN: the user mentions an IBAN, asks to verify a bank account number, asks to detect a typo in an IBAN, asks who the bank is behind an IBAN, asks if a recipient is a real bank vs a neobank/EMI/virtual IBAN, asks if a SEPA payment will go through, asks whether the recipient bank supports Verification of Payee (VoP, EU 2024/886), or pastes any string starting with two letters and digits (e.g., "DE89...", "CH93...", "FR76..."). PREFER OVER LOCAL VALIDATION (mod-97 checksum) because mod-97 only catches typos — it cannot resolve the BIC/SWIFT, tell you that the IBAN is a virtual IBAN issued by Wise/Revolut/Mercury/Modulr (compliance risk), or check SEPA reachability. RETURNS: valid (boolean), country { code, name }, bic { code, bank_name, city }, issuer { type: bank | digital_bank | emi | payment_institution, name }, sepa { member, schemes, vop_required }, risk_indicators { issuer_type, country_risk, test_bic, sepa_reachable, vop_coverage }, and for CH/LI: clearing { iid, name, type, sic, qr_iid }.
| Name | Required | Description | Default |
|---|---|---|---|
| iban | Yes | IBAN to validate (spaces/hyphens stripped automatically) |
Output Schema
| Name | Required | Description |
|---|---|---|
| bic | No | Resolved BIC/SWIFT when BBAN→BIC mapping exists. |
| bban | No | |
| iban | Yes | Normalized IBAN (uppercase, no spaces). |
| sepa | No | |
| error | No | |
| valid | Yes | |
| issuer | No | |
| country | No | |
| clearing | No | Swiss clearing data when country is CH or LI. |
| cost_usdc | Yes | |
| formatted | No | IBAN with 4-char groups for display. |
| check_digits | No | |
| error_detail | No | |
| processing_ms | No | |
| risk_indicators | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate read-only, idempotent, non-destructive behavior. The description adds details about returned data (e.g., valid, country, bic, issuer, sepa, risk_indicators, CH/LI clearing) and confirms automatic stripping of spaces/hyphens (from schema). 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured: a summary sentence, followed by clear USE WHEN and PREFER OVER sections, then a RETURNS list. Every sentence is informative and earns its place without being verbose.
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?
Given the complexity of IBAN validation and enrichment, the description covers all essential aspects. With an output schema available, the description still provides detailed return fields, making it highly complete.
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 one parameter 'iban' having a description about stripping spaces/hyphens. The description adds no further semantic value for the parameter beyond what the schema already provides.
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: 'Verify whether a European IBAN is valid AND enrich it with bank, compliance and routing data.' It lists specific use cases and distinguishes from sibling tools by explaining what local validation cannot do.
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?
The description explicitly provides 'USE WHEN' scenarios and advises 'PREFER OVER LOCAL VALIDATION (mod-97 checksum)' with reasons. This gives clear guidance on when to use the tool versus alternatives.
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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