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Cuánto cuesta

consultar_precio
Read-onlyIdempotent

El precio de la revisión para ese vehículo, esos informes y esa provincia. Es el mismo número que enseña la web: no lo calcules tú ni lo redondees.

Input Schema

NameRequiredDescriptionDefault
ciudad_idNo
provinciaNoLa provincia por su nombre ("Pontevedra", "A Coruña"). Usa esto si no te ha dado el id la plataforma; no inventes ids.
provincia_idNo
token_peritoNoSolo si se pregunta por el precio de un perito concreto.
tipo_informe_idsYes
tipo_vehiculo_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, closed-world. The description adds real value on top: the returned value is authoritative and matches the website exactly, so the agent must not round or recompute it. It omits what happens on invalid province/vehicle inputs, keeping it from a 5.

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?

Two short sentences with the price definition front-loaded and the 'don't recompute' constraint following. Efficient and well-ordered, with no filler.

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 read-only query with no output schema, the description implies a single numeric return ('el mismo número que enseña la web') and covers the core inputs, but leaves several parameters unexplained and gives no error/fallback behavior. Adequate but with visible gaps.

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 coverage is only 33% (6 params, 2 documented inline), so the description must compensate. It identifies the three inputs that drive the price (vehicle, reports, province), which helps, but says nothing about ciudad_id or token_perito, leaving gaps in both sources.

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 resource and result: the price of the revisión for a given vehicle, reports, and province. It distinguishes the operation from transactional siblings like crear_reserva or estado_reserva, though it does not name those alternatives explicitly.

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?

Usage is only implied: the 'no lo calcules tú ni lo redondees' instruction strongly nudges the agent to call the tool for prices rather than deriving them, but there is no explicit when-to-use/when-not or routing to a sibling. This is a minimum-viable signal, not real guidance.

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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