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motionprompts

by dev.motionprompts
OverviewDiscussionsAdmin

Dirección de imagen de una página, sección a sección

plan_imagery

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 (alfa real de gpt-image-2.5 con background: transparent, ya sin magenta), la del retoque con referencia (image-to-image para corregir un detalle sin volver a tirar el dado), 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.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "plan_imagery"
  }
}

Input 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

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden, and it does so well: it explicitly states no images are generated, no API keys are used, and no network calls are made. It also discloses the shape of what it returns (per-model routing, transparency recipe, image-to-image retouch, six-crop sheets, Wikimedia logo sourcing).

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 core purpose is front-loaded and the sequencing constraint is last, which is the right priority order. It is somewhat dense with explanatory narrative ('lo que sigue delatando una página generada...'), but each clause carries concrete content (model routing, transparency, logos) rather than filler.

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?

There is no output schema, so the description must convey the return content, and it enumerates the deliverables precisely (routing, transparency recipe, retouch recipe, crop sheets, logo sourcing). Combined with the stated prerequisites, an agent has everything needed to call it correctly.

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 75%, so the schema already documents most parameters (brief, palette, sections, archetype). The description itself adds no parameter-level syntax or format detail beyond what the schema provides, so the baseline of 3 is appropriate.

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?

States a specific verb and resource: it returns what image each section needs, which model to route it to, and how to write the prompt. It is clearly distinguished from plan_page (input) and render_prompt (execution) by positioning itself as the image-direction layer.

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 sequencing: 'Llámala DESPUÉS de plan_page y ANTES de escribir un solo prompt de imagen.' It also states what the tool does NOT do (no image generation, no keys, no network), removing ambiguity about when it applies.

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

All motionprompts toolsInspect
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