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recommend_movies

Read-onlyIdempotent

Recomienda películas basadas en la cartelera real de una ciudad y fechas concretas. Úsala cuando el usuario pida sugerencias o recomendaciones, por ejemplo: - "qué me recomiendas ver este finde" - "qué puedo ver hoy" - "recomiéndame una película en Córdoba"

            Admite filtros como:
            - películas para niños
            - duración máxima
            - puntuación mínima
            - solo estrenos
            - géneros preferidos o a evitar
            - versión (VOSE, doblada...) o franja horaria

            Debe basarse siempre en películas que estén realmente disponibles en cartelera.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNoEj: VOSE, Doblada, 3D. Coincidencia parcial.
con_ninosNo
fecha_finNoOpcional. Fecha final YYYY-MM-DD. Si se omite, coincide con fecha_inicio. Máximo 14 días de rango.
localidadYesOBLIGATORIO. Ciudad en la que deben existir sesiones reales.
hora_desdeNoHora mínima de la sesión, formato HH:MM.
hora_hastaNoHora máxima de la sesión, formato HH:MM.
duracion_maxNoDuración máxima en minutos.
fecha_inicioNoOpcional. Fecha inicial YYYY-MM-DD. Si se omite, se usa hoy.
solo_estrenosNo
evitar_generosNo
min_puntuacionNoPuntuación mínima entre 0 y 10.
generos_preferidosNo

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that it uses 'real cartelera' but no additional behavioral traits beyond what annotations provide.

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 well-structured with examples and filter categories, though slightly verbose. It front-loads the main purpose and uses clear Spanish.

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?

No output schema is provided, and the description does not specify the return format. While the tool's purpose is clear, this gap reduces completeness for an AI agent.

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 description coverage is 67%, so baseline 3. Description groups filters (e.g., 'películas para niños' maps to con_ninos) but adds little new detail 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 it recommends movies based on real showtimes in a city and dates, with specific example queries that distinguish it from sibling tools like get_cartelera_localidad or find_movie_showtimes.

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 provides explicit usage context with example user queries (e.g., 'qué me recomiendas ver este finde') but lacks explicit when-not-to-use or alternative comparisons.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: find_movie for fuzzy title search, find_movie_showtimes for specific movie showtimes, find_nearby_cines for nearby cinemas, etc. Overlaps are minimal and descriptions clarify boundaries.

Naming Consistency5/5

All tool names follow a consistent 'verb_noun' pattern with underscores and lowercase (e.g., find_movie, get_cartelera_cine, where_to_watch_online). No mixed conventions.

Tool Count5/5

11 tools cover the domain of a cinema information server without being overwhelming or insufficient. Each tool addresses a specific user need (search, showtimes, recommendations, streaming).

Completeness4/5

The tool set covers major user intents: finding movies, showtimes, cinemas, details, recommendations, and streaming availability. Minor gap: no tool for cinema amenities or user reviews, but core workflows are covered.

Resources