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What a Plan! — MCP Server

search_events

Busca planes y eventos en What a Plan! usando múltiples filtros. Usa esta herramienta cuando alguien pregunte por planes, eventos, actividades, o qué hacer. Para filtrar por ubicación, proporciona coordenadas lat/lng y radio en metros (puedes determinar coordenadas desde nombres de ciudades). Ejemplos de consultas: "planes en León para niños", "conciertos gratis este fin de semana", "qué hacer mañana en Valladolid"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitud del centro de búsqueda (ej: 42.5987 para León). Proporciónala SEMPRE que sepas la ubicación.
lngNoLongitud del centro de búsqueda (ej: -5.5669 para León). Proporciónala junto con lat.
cityNoNombre de ciudad como fallback si no puedes determinar coordenadas (menos preciso que lat/lng)
limitNoNúmero máximo de resultados (default: 20, máx: 50)
radiusNoRadio de búsqueda en metros (default: 10000 = 10km). Usa 20000 para área metropolitana.
searchNoPalabras clave en título o descripción (ej: "niños", "rock", "gratis", "gastronomía")
categoryNoNombre o slug de categoría (ej: "Música en Directo", "musica-en-directo")
end_dateNoFecha máxima en formato YYYY-MM-DD (ej: "2026-06-07" para fin de semana)
max_priceNoPrecio máximo (ej: 20)
min_priceNoPrecio mínimo (ej: 0 para gratis)
start_dateNoFecha mínima en formato YYYY-MM-DD (ej: "2026-06-05")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as whether the tool is read-only, auth requirements, rate limits, or side effects. The description only focuses on usage, not behavior.

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 4 sentences and front-loads the purpose. It is reasonably concise, though the second and third sentences could be merged. No redundant or 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?

Given 11 parameters all described in schema and no output schema, the description covers usage context and examples. However, it lacks information about output format or pagination. For a search tool, this is adequate but not complete.

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 description coverage is 100%, so baseline is 3. The description adds value by explaining usage patterns (e.g., 'puedes determinar coordenadas desde nombres de ciudades') and giving example keywords. This goes beyond the schema's per-parameter descriptions.

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 searches for plans/events using multiple filters. It distinguishes from siblings 'get_event' (single event) and 'list_categories' (categories) by specifying it's a multi-filter search tool.

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?

It explicitly states when to use the tool: 'when someone asks about plans, events, activities, or what to do.' It provides examples and explains the preference for lat/lng over city. However, it does not include when not to use it or alternatives beyond sibling tools.

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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