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CustomsBridge TARIC Engine

Server Details

Deterministic HS6/TARIC customs resolution engine and bilingual FTS5 nomenclature API (UNE Node 04).

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2024-11-05
URL
Repository
Une-education/customs-bridge
GitHub Stars
0

TDQS

B3.3/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: resolve_hs_code performs a direct lookup by code to return hierarchy/designation, while search_customs_nomenclature performs bilingual full-text search. An agent can easily choose between code-in and text-in workflows with no overlap.

Naming Consistency5/5

Both names follow a clean snake_case verb_noun pattern (resolve_hs_code, search_customs_nomenclature), making the action and object predictable.

Tool Count3/5

Only 2 tools are provided for a customs nomenclature engine, which feels thin given the domain's complexity. The two operations cover lookup and search, but a richer TARIC surface would typically require more.

Completeness3/5

The core nomenclature operations (resolve a code, search text) are present, but TARIC typically involves tariff measures, duty rates, and related lifecycle queries that are absent. Agents needing duty/measure data would hit a dead end.

Available Tools

2 tools
resolve_hs_codeBInspect

Résout l'arborescence hiérarchique et la désignation officielle d'un code SH6 ou TARIC (de 6 à 10 chiffres).

ParametersJSON Schema
NameRequiredDescriptionDefault
hs_codeYesCode SH (6 chiffres) ou TARIC (10 chiffres) à analyser (ex: "854143", "8501710000")

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses only what is computed (hierarchy + official designation). It says nothing about whether the call is read-only, what occurs on an invalid/unknown code, error behavior, or the shape/size of the returned tree.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with the core action first and the code-format constraint second. No filler or redundancy, though the brevity is partly why behavioral context is thin.

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

Completeness3/5

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

For a one-parameter read tool this is adequate at the purpose level, but with no annotations and no output schema the description leaves the return structure (the hierarchy and designation format) and error handling undescribed, which an agent would want before invoking.

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% and the single parameter already documents the 6/10-digit formats with examples. The description's "de 6 à 10 chiffres" merely restates the schema, so it adds no meaning beyond it; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ("Résout") and resource ("l'arborescence hiérarchique et la désignation officielle") plus the accepted code formats (SH6/TARIC, 6-10 digits). The verb contrast with the sibling search_customs_nomenclature is implied but not named explicitly, so it is clear without being maximally distinguishing.

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

Usage Guidelines3/5

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

The description implies you should use this when you already hold a specific code to resolve, as opposed to the sibling's search behavior, but it never states when to prefer this over search_customs_nomenclature or what happens if the code is unknown. Usage is only inferable from the verb and the code-format constraint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_customs_nomenclatureCInspect

Recherche textuelle bilingue (FR/EN) dans la nomenclature combinée de l'Union Européenne (codes SH6/TARIC) via indexation FTS5 haute performance.

ParametersJSON Schema
NameRequiredDescriptionDefault
langNoLangue de la recherchefr
limitNoNombre maximal de résultats
queryYesTerme de recherche en français ou anglais (ex: "photovoltaic", "café", "aluminium", "lithium")

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'indexation FTS5 haute performance' but does not state permissions, pagination, return format, or whether the operation is read-only; for a search tool with zero annotation support, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently conveys the core purpose and indexed backend. It is appropriately sized for the tool, though the dense terminology slightly reduces immediate accessibility.

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

Completeness3/5

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

For a simple search tool with fully documented parameters and no output schema, the description is minimally complete. However, it omits usage guidance relative to the sibling tool and lacks behavioral details, leaving some gaps an agent might need to fill.

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 schema already documents all three parameters including the bilingual query examples and enum for language. The description adds no parameter-level meaning beyond what the schema provides, making the baseline of 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Recherche textuelle bilingue') and resource ('nomenclature combinée de l'Union Européenne', 'codes SH6/TARIC'), so an agent can understand what the tool does. However, it does not distinguish this tool from its sibling resolve_hs_code, which likely also handles HS codes.

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

Usage Guidelines2/5

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

The description offers no explicit when-to-use or when-not-to-use guidance, and it does not mention the alternative tool resolve_hs_code. While the verb 'Recherche textuelle' implies it is for text searches, no context or exclusions are provided to help an agent choose between this and the sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • First observedresolve_hs_code
    • First observedsearch_customs_nomenclature

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