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screening_listas

Screening de un nombre o entidad contra listas de sanciones internacionales (OFAC, UE, UK, Canada), personas expuestas politicamente (PEP de los paises con servicio: MX, BR, CO, AR, DO, CA, US) y listas nacionales (Mexico, Brasil, Colombia, Argentina, R. Dominicana). Envia 'name'; opcional 'country' (ISO, p.ej. MX) y 'tax_id' para el cruce nacional; 'certificate'=true para recibir una constancia PDF (base64). Devuelve coincidencias con puntaje 0-100 y un registro por cada lista consultada (limpia o con hits). Cuesta SCREEN. Es evidencia, no una certificacion de cumplimiento: un resultado 'sin coincidencias' no exime del deber de debida diligencia.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tax_idNo
countryNo
certificateNo

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations to carry behavioral information, the description fully discloses what the tool returns (matches scored 0-100, one record per list), the consumption cost (SCREEN), the base64 PDF certificate behavior, and a legal caveat about due diligence. This goes far beyond a minimal 'screen lists' statement.

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?

The description is dense but every phrase adds meaning: purpose, parameter usage, output shape, cost, and legal caveat are all stated with no repetition. It is front-loaded with the action and scope.

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?

Without an output schema, it still describes the result format enough for an agent to anticipate what it will receive. It also covers all input parameters, the list sources, country scope, cost, and the tool's limitation as evidence, so the definition is complete for invocation.

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?

Schema description coverage is 0%, so the description is the only source of parameter meaning. It explains name, optional country with ISO format example, tax_id for national matching, and certificate=true for a PDF base64 output, covering all four declared parameters.

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 opens with a specific action and object: screening a name or entity against sanctions, PEP, and national lists. It enumerates the exact lists and countries, making the tool's purpose unmistakable and clearly distinguishing it from one-off verification or monitoring siblings.

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

Usage Guidelines4/5

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

It clearly communicates the screening use case, the optional cross-checks, and the certificate option, and adds the caveat that it is evidence rather than compliance certification. It does not explicitly name alternatives or say when not to use it, though the purpose statement implies when it applies.

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

B3.4/5.0
Disambiguation3/5

Most tools fall into clear families such as validar_*, verificar_* and consultar_*, but there is semantic overlap among consultar_catalogo, catalogo_leyes and catalogo_servicios, and between acreditar_fondeo and verificar_pago since both process CEP XML. The descriptions usually clarify the intent, but an agent could still choose the wrong generic catalog or payment tool.

Naming Consistency3/5

The dominant pattern is Spanish infinitive_noun, e.g. validar_rfc, verificar_empresa and consultar_saldo, but there are noticeable deviations such as catalogo_leyes, estado_servicio, tipo_cambio and verificacion_completa. The English-style screening_listas and screening_monitorear also break the Spanish verb pattern, making the naming readable but inconsistent.

Tool Count2/5

With 30 tools, the server sits well above the recommended MCP range and will add significant context/selection overhead. The broad multi-domain scope explains some of the size, but several account/meta tools could be consolidated, and the overall surface feels heavier than ideal.

Completeness3/5

The core workflows are well covered: company/invoice/payment verification, legal search and lookup, fiscal calculations, identity validations, screening and constancy validation are all present. However, there are dead ends: crear_fondeo_x402 requires an out-of-band REST liquidation step, screening_monitorear has no management/removal counterpart, and registrar_obligacion has no list/delete tools.

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