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create_workspace

Create a workspace to isolate resources, API keys, and team members. Returns new workspace id, name, and slug. Slug auto-generated from name if omitted.

Instructions

Create a workspace to isolate resources, API keys, and team members. If slug is omitted it is auto-generated from the name; returns the new workspace id, name, and slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the workspace
slugNoURL-friendly slug (auto-generated if not provided)
descriptionNoDescription of the workspace
is_defaultNoSet as default workspace (1 = yes, 0 = no)
metadataNoCustom metadata key-value pairs

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior3/5

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

Annotations already indicate non-read-only, non-destructive, non-idempotent behavior. Description adds return value info (id, name, slug) and slug auto-generation, but does not disclose additional behavioral traits beyond annotations.

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?

Two sentences, no wasted words. First sentence states purpose, second provides key behavioral detail. Information is front-loaded and efficient.

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 5 parameters (1 required), nested objects, and no output schema, the description covers creation purpose, slug behavior, and return fields. Schema covers the rest. Could briefly mention metadata or default usage but not necessary.

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 has 100% description coverage, so baseline is 3. Description adds value by explaining slug auto-generation behavior and mentioning return fields, which clarifies parameter usage beyond 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?

Clearly states 'Create a workspace to isolate resources, API keys, and team members', specifying the verb and resource. Differentiates from siblings like create_api_key or create_collection by naming the workspace entity and its isolation purpose.

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?

Explains slug auto-generation behavior ('If slug is omitted it is auto-generated from the name'), which guides usage. However, does not explicitly mention when to use vs. alternatives like update_workspace or delete_workspace.

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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