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convertir_edad_mascota

Read-only

Convierte la edad de un perro o gato a años humanos equivalentes y determina su etapa de vida con recomendaciones de cuidado. Para perros usa factores por tamaño (pequeño, mediano, grande, gigante). Para gatos: primer año = 15 años humanos, segundo = 9, resto × 4.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
edadMascotaYesEdad de la mascota en años. Puede tener decimales (ej: 0.5 = 6 meses, 1.5 = 1 año y medio).
tamanoPerroNoTamaño del perro (solo si tipoMascota="perro"): "pequeno" <10kg, "mediano" 10-25kg, "grande" 25-45kg, "gigante" >45kg. Por defecto "mediano".
tipoMascotaYesTipo de mascota

TDQS

A4.1/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true, and the description adds behavioral details: conversion factors for dogs by size and cats by age formula, determination of life stage, and care recommendations. These go beyond annotations by disclosing the conversion logic and output content.

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?

The description is two sentences, front-loaded with the core purpose, and each sentence provides essential information. No wasted words.

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?

While the description mentions outputs (etapa de vida, recomendaciones de cuidado), it does not specify the exact format or structure of the output (e.g., JSON fields). Since no output schema exists, more detail would be beneficial for a complete understanding.

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

Parameters4/5

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

Schema coverage is 100% with parameter descriptions. The description adds meaning by explaining the conversion formulas (e.g., 'primer año = 15 años humanos, segundo = 9, resto × 4' for cats) and specifying default dog size, which the schema lacks. This adds value beyond the schema.

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 'Convierte la edad de un perro o gato a años humanos equivalentes y determina su etapa de vida con recomendaciones de cuidado.' This is a specific verb (convertir) and resource (edad mascota), and it distinguishes from sibling tools like calcular_edad which are generic age calculators.

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?

The description implies usage for converting pet ages but does not explicitly state when to use this tool versus alternatives or when not to use it. No exclusions or comparisons to sibling tools are provided.

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

A3.8/5.0
Disambiguation4/5

Most tools are cleanly separated by domain and purpose, but a few close pairs exist: calcular_camara_lenta and calcular_regla_180_video both touch the 180° shutter rule, and calcular_pace_running and calcular_prediccion_running both produce race projections. The descriptions are detailed enough to resolve the ambiguity, but misselection is possible if they are not read carefully.

Naming Consistency5/5

All tool names follow a consistent Spanish verb_noun snake_case pattern, with calcular_ dominating and the other verbs (convertir_, consultar_, recomendar_, escalar_) used for genuinely different action types. There is no mixed casing or style inconsistency.

Tool Count2/5

42 tools is far above the 25+ threshold and the set spans many unrelated domains such as cooking, fitness, photography, vehicles, dates, and finance. While each individual calculator may be useful, the server is not well-scoped and would be much easier to navigate if split into domain-specific MCP servers.

Completeness3/5

Coverage inside each sub-domain is quite thorough, but there are notable gaps: calcular_kilometraje references calcular_irpf, calcular_cuota_autonomo, and comparar_autonomo_vs_sl, none of which exist in this server. These dangling cross-references can lead an agent to attempt calling unavailable tools.

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