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country_payment_codes

Look up country-specific payment codes (KNP, purpose codes, etc.).

Use country_banking_rules first to see which code types a country requires (in the payment_requirements block), then use this tool to find the right code value.

Args: country_code: ISO 3166-1 alpha-2 (e.g., "KZ", "AE") code_type: Code table to search (from payment_requirements required_fields[].code_type, e.g., "knp", "purpose_code") search: Optional keyword filter (e.g., "transport", "trade", "insurance")

Examples: country_payment_codes("KZ", "knp", "transport") country_payment_codes("KZ", "knp", "insurance") country_payment_codes("AE", "purpose_code", "trade") country_payment_codes("KZ", "knp") # all codes (large response)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNo
code_typeYes
country_codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior4/5

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

No annotations provided, but description adds context about potential large response when no search filter, and explains the relationship with country_banking_rules. Could be improved by mentioning data freshness or rate limits.

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?

Concise and well-structured with an overview, Args section, and examples. No superfluous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and presence of output schema, the description covers purpose, usage, parameters, and a caveat. It references a relevant sibling tool (country_banking_rules). Minor missing aspects like error handling or exhaustive list of code types.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by explaining each parameter: ISO alpha-2 format, code_type from payment_requirements, optional search filter. Examples illustrate usage.

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 'look up' and resource 'country-specific payment codes (KNP, purpose codes, etc.)'. It distinguishes from siblings by referencing country_banking_rules as a prerequisite.

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 instructs to 'Use country_banking_rules first to see which code types a country requires... then use this tool'. Provides clear examples and explains optional search parameter.

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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TDQS

A4.3/5.0
Disambiguation4/5

Most tools have distinct purposes, but some overlapping areas (goods_classify vs hs_code_lookup vs eccn_lookup; fx_rate vs fx_rate_history vs fx_volatility) require close reading of descriptions to select correctly. The detailed descriptions help, but the shear number of lookup tools creates mild ambiguity.

Naming Consistency3/5

Names mix verb-first (track_payment, mcp_verify) and noun-first patterns (iban_validate, fx_rate, ssi_lookup), with some phrase-like names (banks_using_correspondent, is_business_day_check). While readable, there is no single consistent convention.

Tool Count3/5

33 tools is heavy, but the server's broad scope (payments, FX, sanctions, export controls, company registries, SWIFT) justifies most of them. A few marginal tools (mcp_register, mcp_verify, company_search_result) add bulk without core value.

Completeness5/5

The tool set covers the payment lifecycle end-to-end: tracking, settlement, FX, compliance, sanctions, and company due diligence. There are no obvious dead ends; the tools chain together via next_steps and search_id flows.

Resources