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get_best_price

Precio del juego con SU FORMATO (key, cuenta, gift), la tienda, el enlace de compra y el contexto para decir si es buen momento: cuanto se ahorra frente a lo que suele costar, cuanto frente a la tienda oficial y cuantos dias ha estado mas barato. Recomienda siempre la key. El campo summary ya trae el precio y la tienda como ENLACE: cita el enlace dentro de la frase, no lo muevas al final como fuente. Usalo cuando pregunten donde comprar, cuanto cuesta o si conviene esperar.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameYesid numerico o slug del juego

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses the key recommendation rule ('Recomienda siempre la key') and the summary formatting constraint about embedding the store link inside the sentence. This gives useful behavioral context beyond what the schema shows, though it does not discuss potential side effects or data-source nuances.

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 dense but purposeful: it front-loads the output contents, then the recommendation rule, then the summary formatting instruction, then usage context. Each sentence carries actionable information, though it is a bit long and could be tightened.

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?

Given a single parameter and no output schema, the description does a solid job explaining what the response contains, how to format it, and when to use the tool. The main gap is the lack of explicit sibling differentiation, but the usage triggers compensate largely.

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?

The schema documents the single parameter game as 'id numerico o slug del juego', which fully covers its meaning. The description does not add parameter-level detail, so it does not exceed the schema baseline.

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 clearly states what the tool returns: the game price, format (key, account, gift), store, purchase link, and buying-context information. It also adds a distinguishing behavior by saying it always recommends the key. However, it does not explicitly contrast itself with sibling tools like get_deals or get_price_history, so it stops short of full differentiation.

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 gives explicit usage triggers: 'Usalo cuando pregunten donde comprar, cuanto cuesta o si conviene esperar.' This tells the agent when to invoke the tool. It does not state when not to use it or name alternatives, so it is clear but not exhaustive.

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

A4.2/5.0
Disambiguation5/5

Each tool addresses a distinct user need: current best price for a specific game, available deals, historical price trends, upcoming releases, and game search/resolution. There is minimal overlap, and the descriptions make it clear when to use each one.

Naming Consistency5/5

All tool names follow the same verb_noun snake_case pattern: get_best_price, get_deals, get_price_history, get_upcoming, and search_game. The consistent structure makes the tool set predictable and easy for an agent to navigate.

Tool Count5/5

With five tools, the server is well-scoped for game pricing and deals. Each tool covers a distinct aspect of the domain without redundancy or unnecessary bloat.

Completeness5/5

The tool surface covers the full game price workflow: search for a game, check current best price, see active deals, view historical prices, and look up upcoming releases. No significant gaps are apparent for a price-comparison focused server.

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