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nic01asFr
by nic01asFr

describe_workspace

Retrieve detailed workspace information using its workspace ID. Returns success status, message, and workspace details.

Instructions

Obtient des informations détaillées sur un espace de travail spécifique.

Prérequis: - list_workspaces: Pour obtenir un workspace_id valide

Flux de travail typique: 1. list_organizations() → identifier l'organisation 2. list_workspaces(org_id) → identifier l'espace de travail 3. describe_workspace(workspace_id) → obtenir les détails

Args: workspace_id: L'ID de l'espace de travail à décrire

Returns: Dict avec: - success (bool): Indique si l'opération a réussi - message (str): Message de succès ou d'erreur - workspace (Dict): Détails de l'espace de travail

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 return structure (success, message, workspace) but does not explicitly state that the operation is read-only or discuss permissions, rate limits, or error cases.

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

Conciseness4/5

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

The description is well-structured with Prerequisites, typical workflow, Args, and Returns sections. It is not overly verbose, though the workflow could be condensed.

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 simplicity (one parameter) and the existence of an output schema, the description adequately covers prerequisites, workflow, and return values. It provides sufficient context for an agent to use the tool 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?

The input schema has no description for workspace_id (0% coverage). The description compensates by explaining 'L'ID de l'espace de travail à décrire', adding meaning beyond the type integer.

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 it gets detailed information about a specific workspace. It uses a specific verb-resource pair and distinguishes itself from sibling tools like list_workspaces and describe_document.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit prerequisites (workspace_id from list_workspaces) and a typical workflow (list_organizations -> list_workspaces -> describe_workspace). However, it does not mention when not to use this tool or describe alternative tools for similar tasks.

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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