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maket_workspace

Control live workspace sessions: open pages in preview, inspect document state, toggle locks, and process queued user messages across documents.

Instructions

When to use: every session-level interaction with the live workspace — open a doc/page in the preview, inspect a doc's current state, toggle its lock, and process the user-message queue. For persistent CRUD on documents (create, rename, delete, duplicate, meta, import/export) use maket_doc.

focus — open doc at page page in the live preview (sets active doc + active page). state — summarise doc's current state: canvas, pages with element counts and data-source cursors (collection · mode · row), charte, pending messages. lock — lock or unlock doc. When locked, every doc-scoped mutation refuses until it's unlocked. Pass locked=true/false, or omit to toggle. fit_view — zoom out the client to fit the whole workspace (same as the Maximize button). list_messages — return every pending user message across all docs and the workspace bucket as JSON. Each message carries its own docName (or none for workspace scope). ack_messages — drop the given ids from whichever bucket they live in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docNoThe document in scope. Required for focus/state/lock. Do not pass it for list_messages; that action returns every queued user message across all documents and the workspace.
idsNoFor ack_messages: message ids to mark processed.
pageNoFor focus: 1-based page number to make active.
actionYesOperation to run. See the tool description for the action table.
lockedNoFor lock: true to lock the document, false to unlock. Omit to toggle.
Behavior5/5

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

With no annotations provided, the description carries the full burden. It discloses the lock's blocking behavior, that list_messages returns all pending messages across docs and workspace, and that ack_messages drops the specified ids. The action-by-action semantics are clearly stated.

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?

The description is front-loaded with the primary usage distinction, then uses a concise action-by-action table format. No superfluous sentences; every line adds needed operational detail.

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 multi-action tool without an output schema, the description covers each action's behavior, lists prerequisites, and indicates return expectations (e.g., JSON for list_messages). The alternative tool for other operations is provided, rounding out the context.

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 already provides 100% parameter descriptions, and the tool description reinforces action-specific parameter usage (e.g., doc required for focus/state/lock, omitted for list_messages; locked toggle behavior). This adds value by summarizing the action-to-parameter mapping, although most details exist in 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 description states specifically that it handles session-level interactions with the live workspace, then enumerates six concrete actions. It also differentiates itself from the sibling maket_doc tool for persistent CRUD, making its scope unmistakable.

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?

The opening 'When to use' sentence defines the tool's context and explicitly directs persistent document CRUD to maket_doc. Each action is described with its trigger and expected effect, leaving no ambiguity about when to invoke it.

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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