Skip to main content
Glama

convertir_unidades

Read-only

Convierte entre unidades de medida en 12 categorías: longitud (m, km, cm, mm, mi, yd, ft, in, nmi, au, ly), masa (kg, g, mg, t, lb, oz, st), temperatura (C, F, K, R), area (m2, km2, cm2, ha, acre, ft2), volumen (l, ml, m3, gal, qt, pt), tiempo (s, min, h, d, semana, mes, ano), velocidad (ms, kmh, mph, kn, mach), datos (b, B, KB, MB, GB, TB, Kb, Mb, Gb), presion (Pa, kPa, bar, atm, psi, mmHg), energia (J, kJ, cal, kcal, Wh, kWh, BTU, eV), fuerza (N, kN, lbf, kgf), potencia (W, kW, MW, hp, cv).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valorYesValor numérico a convertir
categoriaYesCategoría de la conversión
unidadOrigenYesUnidad de origen (ver listado en la descripción). Ejemplos: "km", "lb", "C", "ha", "kWh"
unidadDestinoYesUnidad destino. Ejemplos: "mi", "kg", "F", "acre", "BTU"

TDQS

A4.3/5.0
Behavior3/5

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

The readOnlyHint annotation already communicates that this is a safe read-style operation. The description adds the supported units and categories, which is useful context, but it doesn't disclose details such as precision, rounding, or how strictly unit strings are matched. For a pure converter, this gap is moderate.

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 main action and scope are front-loaded, and the lengthy remainder is a single necessary inventory of units. There is no filler or repetition, and each part of the description earns its place.

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?

All four required parameters are already documented in the schema, and the description supplies the full domain vocabulary. There is no output schema, so describing the result format would have been an improvement, but that is a minor omission for an otherwise simple conversion tool.

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

Parameters5/5

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

The schema describes each parameter at a high level, but the description is the only place that enumerates valid unit codes per category (e.g., m, km, kg, C, m2, ms, Pa, J, N, W). This materially helps an agent supply correct values for unidadOrigen and unidadDestino, going well beyond the schema's few examples.

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 leads with a specific verb and resource: 'Convierte entre unidades de medida' and then enumerates 12 concrete categories, which clearly separates it from the sibling converters and calculators. An agent can identify the tool's purpose without inspecting the schema.

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 scope is explicit: use this tool for unit conversions across the listed categories, and those categories implicitly exclude sibling tools like convertir_edad_mascota. It does not name alternative tools or state when-not-to-use conditions, but the category inventory gives clear contextual guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources