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VanguardiaAI

motionprompts MCP

by VanguardiaAI

Dirección de imagen de una página, sección a sección

plan_imagery

Plan which image each section needs, the right model for people/objects/landscapes, and transparency/cutout handling. Source real logos. Call after page plan, before writing image prompts.

Instructions

Qué imagen necesita cada sección, CON QUÉ MODELO se hace y cómo se redacta el prompt. Con la arquitectura y el movimiento resueltos, lo que sigue delatando una página generada son las imágenes: genéricas del sector en vez de específicas de la sección, sin una sola persona, y todas rectángulos con fondo. Esta tool devuelve el enrutado por modelo (personas ≠ objetos ≠ paisaje: no son intercambiables), la receta de transparencia (fondo magenta plano y quitado después, porque ningún modelo devuelve alfa), la de las hojas de seis recortes por generación, y de dónde salen los logotipos reales (Wikimedia, nunca generados). NO genera imágenes, no usa ninguna clave y no hace ninguna llamada de red: devuelve texto. Llámala DESPUÉS de plan_page y ANTES de escribir un solo prompt de imagen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefNoEl mismo brief que le diste a plan_page.
paletteNoLa paleta ya fijada: las tomas obedecen al diseño, no al revés.
sectionsNoLas secciones de plan_page, tal cual. Sin esto sólo se devuelven las reglas generales.
archetypeNo
Behavior5/5

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

With no annotations provided, the description fully discloses behavior: it returns text, makes no network calls, uses no keys, and does not generate images. It also reveals specific details like the magenta-background alpha workaround and Wikimedia as the logo source, going beyond basic metadata.

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 dense and information-rich, front-loading the core purpose before listing details. While longer than average, every sentence adds value, covering rationale, outputs, and exclusions. The structure is logical, though it could be slightly trimmed without losing meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a planning tool with no output schema, the description fully explains what it returns and when to call it. It also covers prerequisites (after plan_page), the scope (sections needed), and its limitations (text-only, no network). The sibling context is handled well by explicitly positioning it in the sequence.

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?

The schema descriptions already cover 75% of parameters with meaningful context (e.g., 'brief' references plan_page, 'sections' explains that without it only general rules are returned). The description reinforces the workflow but does not directly mention the 'archetype' parameter, which lacks a schema description, leaving a small gap.

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 what the tool does: it returns per-section image needs, model routing (people ≠ objects ≠ landscape), transparency recipes, cutout sheets, and logo sources. It uses specific verbs like 'devuelve' (returns) and distinguishes itself from siblings by emphasizing it does NOT generate images and provides text output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit workflow guidance is given: 'Llámala DESPUÉS de plan_page y ANTES de escribir un solo prompt de imagen' (call it AFTER plan_page and BEFORE writing any image prompt). It also clarifies what it does not do (no network calls, no keys, no image generation), which helps rule out inappropriate use cases.

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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