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create_workspace

Create a workspace to organize pipelines, indexes, and resources. Provide a unique name to set up an environment for deploying AI components.

Instructions

Creates a new workspace with the specified name.

This tool creates a new workspace that can be used to organize pipelines, indexes, and other resources. The workspace name must be unique across the platform. Once created, you can start deploying pipelines and other resources within this workspace. :param name: The name for the new workspace. Must be unique. :returns: Success confirmation or error message.

The output is automatically stored and can be referenced in other functions. Returns a formatted preview with an object ID (e.g., @obj_123). Use the object store tools in combination with the object ID to view nested properties of the object. Use the returned object ID to pass this result to other functions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses mutation (creates), uniqueness requirement, output format with object ID, and storage behavior. However, it does not mention permissions, rate limits, or side effects.

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 concise overall, but includes extra details about object store tools and referencing results, which are tangentially relevant. Could be slightly more streamlined.

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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description covers purpose, input, output, and uniqueness constraint. Lacks error handling details and authentication requirements.

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 sole parameter 'name' has no schema description (0% coverage), but the description adds meaningful context: 'The name for the new workspace. Must be unique.' This compensates well for the lack of schema documentation.

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 explicitly states 'Creates a new workspace with the specified name' and explains its role in organizing pipelines, indexes, and other resources. It clearly distinguishes from sibling tools like create_index and create_pipeline.

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

Usage Guidelines3/5

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

The description mentions the uniqueness constraint and that workspaces can be used after creation, but does not provide explicit guidance on when to use this tool versus alternatives or when not to use 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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