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nic01asFr
by nic01asFr

create_workspace

Create a new workspace within a Grist organization by providing the organization ID and workspace name.

Instructions

Crée un nouvel espace de travail dans une organisation.

Prérequis: - list_organizations: Pour obtenir un org_id valide

Flux de travail typique: 1. list_organizations() → obtenir org_id 2. create_workspace(org_id, "Nom") → créer l'espace de travail 3. list_workspaces(org_id) → vérifier la création

Args: org_id: L'ID de l'organisation name: Nom du nouvel espace de travail

Returns: Dict avec statut, message et ID de l'espace de travail créé

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
org_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states that the tool creates a workspace and returns a dict with status, message, and ID. However, it does not discuss idempotency, duplicate handling, or side effects. The behavioral transparency is adequate but not thorough.

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 well-structured with sections for prerequisites, workflow, args, and returns. It is concise without unnecessary words, and the main purpose is front-loaded in the first line. Every sentence adds value.

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?

Given the tool's low complexity (2 required parameters) and the presence of an output schema, the description is complete. It explains prerequisites, workflow, parameter semantics, and return format. No gaps are apparent for effective use.

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?

With 0% schema description coverage, the description must compensate. It provides natural language explanations for both parameters: 'org_id: L'ID de l'organisation' and 'name: Nom du nouvel espace de travail'. This adds clear meaning beyond the schema's type definitions, though it could include format constraints or examples.

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 clearly states the tool creates a new workspace in an organization ('Crée un nouvel espace de travail dans une organisation.'). This is a specific verb+resource pair that distinguishes it from sibling tools like delete_workspace or list_workspaces.

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 description explicitly provides prerequisites (list_organizations to get an org_id) and a typical workflow (list_organizations, create_workspace, list_workspaces). It tells the agent when to use this tool and suggests verification steps.

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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