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get_playbook

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Las recetas para las preguntas típicas: con qué tools se contestan, en qué orden y cómo entregar. Sin skill: la lista (nombre, para qué, argumentos). Con skill y sus argumentos: la receta armada, para seguirla.

Hay recetas para estas preguntas: investigar una persona, proyecto u
organización; dónde o cuándo se habló de algo; seguimiento de un tema; qué se decidió; preparar o
resumir una reunión; accionables sin confirmar; estado de tareas o de un tablero; tareas de Jira o
ClickUp; lo delegado; el día o la semana; ponerse al día después de unos días; qué está en riesgo;
cómo se relacionan dos cosas; redactar un seguimiento; estudiar un tema; pasar notas a tareas;
ordenar el Atlas.
Y para HACER: armar el Secondbrain de una cuenta nueva, anotar en el diario, recordarme algo, crear una tarea, agendar, completar tareas,
registrar una reunión no grabada, cerrar el día, planificar la semana, ordenar vencidas, armar
un entregable, escribir o actualizar un documento, armar un tablero visual, actualizar el Atlas.

Para una pregunta suelta ("¿en qué quedó X?") no hace falta receta: recall alcanza.

Input Schema

NameRequiredDescriptionDefault
argsNoArgumentos de la receta, ej. { persona: 'Pablo' }
skillNoNombre de la receta (de la lista). Omitir para listarlas

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds value beyond that by explaining the two behavioral modes (skill omitted → list; skill + args → assembled recipe) and what the recipe contains (tools, order, delivery), which is genuine operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core mechanics are correctly front-loaded in the first paragraph, but roughly half the text is a long enumeration of recipe topics. That list aids discovery, yet it is verbose and could be tightened without losing the routing signal.

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?

Covers both invocation modes, the breadth of available recipes, and the alternative tool for simple questions. With annotations carrying safety and no output schema present, the only minor gap is not describing the shape/format of the returned recipe payload.

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 coverage is 100%, so the schema alone justifies a baseline 3. The description goes further by clarifying the interaction between the two params: omitting skill yields the list, and supplying skill with its arguments yields the ready-to-follow recipe, which explains intent beyond the schema's terse field notes.

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 first two sentences state precisely what the tool returns: recipes for typical questions, with which tools, in what order, and how to deliver. It cleanly separates the two modes (list of recipes vs. an assembled recipe) and names its sibling recall as the different tool for single questions, so an agent can tell them apart without opening either schema.

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 routing: use this for multi-step/typical questions, and 'Para una pregunta suelta... no hace falta receta: recall alcanza' gives the negative case and the alternative by name. The enumerated coverage list further lets an agent self-select on topic.

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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