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configurar_workspace

Deja armado el workspace de una cuenta nueva con lo que la persona contestó en la bienvenida: lo renombra (si es dueño o admin), guarda para qué lo usa y qué quiere hacer primero, y escribe una primera nota de bienvenida en el Diario de hoy.

La tarjeta de bienvenida la llama sola. Llamala vos sólo si el cliente no dibuja tarjetas y la persona te contestó por escrito.

Input Schema

NameRequiredDescriptionDefault
usoNopersonal | trabajo | estudio | equipo
focoNoQué quiere hacer primero: notas, tareas, reuniones, calendario
idiomaNoIdioma de la persona (default: es)
nombreNoCómo quiere llamar a su espacio
workspace_idNoUUID del workspace, o su nombre tal como lo dice el usuario ('Acme', 'el personal'). Omitir si el token ya tiene workspace fijo

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 this is a non-read-only, non-destructive, closed-world operation, so the safety profile is covered. The description adds real behavioral context beyond that: the rename only happens if the caller is owner or admin, and it has the side effect of creating a Diary note for today. It stops short of saying what happens on re-invocation or whether an existing workspace name is overwritten.

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

Conciseness5/5

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

Two tight paragraphs: the first front-loads what the tool does, the second front-loads the calling condition. Every sentence carries information an agent needs, with no filler or repetition of the title.

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?

For a composite mutation tool with no output schema and five optional parameters, the description covers purpose, trigger condition, and the permission constraint on renaming. It is missing only edge-case behavior (idempotency, what happens when the workspace is already configured, or what the response contains), which keeps it short of a 5.

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 100%, so every parameter is already documented in the schema, and the baseline for that situation is 3. The description loosely maps 'para qué lo usa' to uso and 'qué quiere hacer primero' to foco, but adds no format, enum, or default detail beyond what the schema provides, and says nothing about workspace_id.

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 names a concrete verb and resource and enumerates the composite effects: renaming the workspace, saving usage and focus, and writing a welcome note in today's Diary. It is immediately distinguishable from siblings like update_workspace or write_daily_note because it is an onboarding bundle triggered by the welcome flow.

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?

It states explicitly that the welcome card invokes it automatically and that the agent should call it only when the client does not render cards and the person answered in writing. That is an explicit when-to-use plus a when-not-to-use condition, leaving nothing to inference.

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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