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Structurer un refus de garantie légale

scoreconso_route_guarantee_case
Read-onlyIdempotent

Route un refus de garantie légale de conformité ou un renvoi vers le fabricant. Contrôle le vendeur, la période de deux ans, la présomption de vingt-quatre ou douze mois, le repère maximal de trente jours et les conditions possibles des remèdes secondaires. Ne choisit jamais automatiquement un remboursement ou une résolution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNo
factsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofYes
rulesYes
sourcesYes
evidenceYes
passportYes
route_idYes
templateYes
deadlinesYes
procedureYes
situationYes
escalationYes
facts_usedYes
next_stepsYes
assumptionsYes
result_typeYes
jurisdictionYes
applicable_onYes
facts_missingYes
uncertaintiesYes
disclaimer_codeYes
ruleset_versionYes
temporal_checksYes
temporal_statusYes
applicable_on_basisYes
qualification_statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds valuable behavioral context by listing the internal checks and explicitly stating that the tool never automatically chooses a refund or resolution, which is beyond what the annotations convey.

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?

Three concise sentences, front-loaded with the core purpose, followed by the key checks and a critical behavioral constraint. Every sentence earns its place with no redundancy.

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?

For a routing tool with rich annotations and an output schema, the description covers the essential context: when to use it, what it checks, and what it will not do. It is slightly incomplete in not addressing how it relates to the more general route_case sibling, but this is a minor gap.

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 0%, so the description must compensate. It does provide domain-level meaning by referencing the seller, the two-year period, the 24/12-month presumption, the 30-day benchmark, and secondary remedies. However, it does not explain the structure of the facts object or the as_of parameter, leaving much of the parameter semantics to inference.

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 is specific: it routes a refusal of the legal guarantee of conformity or a referral to the manufacturer. It names the exact legal scenario and the checks performed, making it easy to distinguish from sibling routing tools like route_marketplace_case or route_subscription_case.

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?

The first sentence clearly states the triggering context: a refusal of a legal guarantee of conformity or a referral to the manufacturer. However, it does not explicitly state when not to use this tool or compare it with route_case, leaving some ambiguity about edge cases.

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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