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price_project

Price an entire project by finding the best delivered price for each article, grouping purchases across merchants, and generating an order plan that minimizes total cost including shipping.

Instructions

Chiffre une liste d'articles au meilleur prix livré et rend le plan de commande groupé.

C'est le point d'entrée principal : un seul appel pour tout le projet. Chaque article peut porter une quantité (« LD2410C x3 ») ou un plafond (« ESP32 <=12€ »). Rend le meilleur neuf et le meilleur occasion par article, le plan de commande qui minimise le total port compris, et l'écart avec le total naïf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNocompact
zipcodeNo
articlesYes
radius_kmNo
used_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explicitly reveals what the tool returns (best new/used per article, order plan minimizing shipping, and difference from naive total) and that it only produces a plan, not an actual purchase. This gives a good sense of its side-effect-free nature, though it does not mention potential errors, rate limits, or dependency on external sources.

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, well-structured paragraph that leads with the main purpose and then gives behavior and examples. It is not overly long and efficiently communicates the core function. Minor redundancy in repeating the return list twice, but overall it is concise and front-loaded.

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

Completeness2/5

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

Given the presence of an output schema, return value format is not required, but the description is incomplete for a 5-argument tool with zero schema descriptions. The lack of parameter explanations (especially 'detail' and 'used_threshold') means an agent cannot confidently set non-default values. While the main scope is clear, the missing parameter semantics make it incomplete for full usage.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must clarify all parameters. It does explain the format for the 'articles' parameter (quantity or cap), which is the only required field. However, it leaves 'detail', 'zipcode', 'radius_km', and 'used_threshold' undefined. The defaults exist in the schema, but their meaning is not explained, leaving the agent without guidance for non-default values. The description compensates only for one of five 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 clearly states the tool's purpose: pricing a list of articles at best delivered price and returning a grouped order plan, explicitly calling itself the main entry point. This differentiates it from sibling tools (best_price, list_sources) that are presumably lower-level operations. It also explains the accepted article syntax (quantity or cap), giving concrete examples.

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 description states that this is the primary entry point and that a single call handles the entire project, implying it should be used instead of composing multiple calls. However, it does not explicitly say when to prefer best_price or list_sources, nor does it mention exclusions (e.g., for single-item queries). It provides clear context but no explicit alternatives.

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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