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Set up folders and rooms for their work

workspace_setup
Destructive

Creates folders for the work someone described, rooms linked to those folders (with your first message in each, the concrete next step), and starting pieces filed inside. Records what the workspace is for, which orders what home offers first. Use it once you know what they're working on, typically near the end of setting a workspace up. Say in one sentence what you're setting up and call it; the approval card lists the folders, rooms, and pieces, so don't list them in words too. Every workspace already has a Start here folder and a General room, so don't recreate those. May return needs_confirmation; then wait for approval.

Starting shapes by kind of work (adapt, drop, or combine; name everything after what they told you):

  • process_redesign: a folder per process being changed ("Claims intake redesign"). Pieces: a Compass page with pageType WORKFLOW describing how it works today, a Napkin diagram of current and proposed steps, a doc for the change plan. Room: " redesign". After setup, offer a Ledger expectation for the metric they want to move.

  • research: a folder per study or question. Pieces: a research-plan doc (question, who, method), a synthesis doc. Room: " research". After setup, offer a Prism field for the question.

  • ai_design: a folder per AI feature. Pieces: a spec doc (what it does, for whom, what good looks like), a Caliper dataset for test cases. Room: the feature's name, with the flow in it once one exists (file an existing flow via existing). After setup, offer to scaffold the flow and a rubric.

  • knowledge: a folder per domain. Pieces: Compass pages for the main topics. Room: "Ask about ".

  • exploring: usually nothing beyond Start here and General; offer one small first thing instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
foldersYes
workKindsNoWhat the workspace is for, from what they said.
workspaceNoWorkspace slug. Ignored for workspace API keys.
approvalIdNoApproval id from a prior needs_confirmation envelope.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and openWorldHint=false, so the description is not the sole source of the risk profile. It still adds real behavioral context beyond the annotations: the needs_confirmation return envelope and the requirement to wait for approval, plus the note that the approval card enumerates the created objects.

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 action is front-loaded, but the definition is long, with a five-bullet starter-shape catalogue and meta-instructions ("Say in one sentence what you're setting up and call it..."). Much of it earns its place, but it is heavier than a description needs to be and leans toward a playbook rather than a definition.

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 complex multi-resource setup tool with no output schema, the description covers what to build, when to call it, naming guidance, exclusions, the per-kind templates, and the approval/needs_confirmation flow. An agent has everything needed to invoke it correctly.

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 75%, so most parameters are documented in the schema, and the description still adds meaning: naming conventions ("name everything after what they told you"), how workKinds should be derived, and what the nested pieces/rooms should contain per work kind. It goes beyond restating the schema.

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 opening sentence states a specific verb and several concrete resources ("Creates folders... rooms linked to those folders... and starting pieces filed inside") and explains the scope (records what the workspace is for). This clearly distinguishes it from sibling single-resource creators like compass_pages_create or rooms_post.

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 gives explicit timing ("Use it once you know what they're working on, typically near the end of setting a workspace up") and an explicit exclusion ("Every workspace already has a Start here folder and a General room, so don't recreate those"). The per-kind starter shapes further route the agent on what to build when.

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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