Recherche textuelle bilingue (FR/EN) dans la nomenclature combinée de l'Union Européenne (codes SH6/TARIC) via indexation FTS5 haute performance.
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | Langue de la recherche | fr |
| limit | No | Nombre maximal de résultats | |
| query | Yes | Terme de recherche en français ou anglais (ex: "photovoltaic", "café", "aluminium", "lithium") |
Changes observed during successful MCP inspections.
Input schema / properties / langAdded value: +{
+ "default": "fr",
+ "description": "Langue de la recherche",
+ "enum": [
+ "fr",
+ "en"
+ ],
+ "type": "string"
+}Input schema / properties / limit / defaultAdded value: +5Input schema / properties / limit / descriptionPrevious value: -"Nombre maximal de résultats (défaut: 5)"New value: +"Nombre maximal de résultats"Input schema / properties / query / descriptionPrevious value: -"Mots-clés décrivant la marchandise (ex: \"moteurs électriques\", \"lithium cells\", \"drones\")"New value: +"Terme de recherche en français ou anglais (ex: \"photovoltaic\", \"café\", \"aluminium\", \"lithium\")"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.
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.
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.
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.
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.
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.
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