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create_space

Create a shared context space for multiple AI agents to collaborate. Grant read/write permissions to specific agents and set tags for organization.

Instructions

Create a shared context space for multi-agent collaboration.

Spaces let multiple agents share memories with fine-grained permissions.
The creator is the owner and can grant read/write access to other agents or tenants.

Args:
    name: Name for the space.
    description: Optional description of the space's purpose.
    allowed_agents: Optional list of agent IDs that can access this space.
    tags: Optional tags for the space.

Returns:
    JSON string with the created space details including space_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionNo
allowed_agentsNo
tagsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description adds behavioral context beyond the annotations: it notes that the creator becomes the owner and can grant read/write access, and that the return is a JSON string with space_id. The annotation (destructiveHint=false) is consistent with creation.

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 concise with a clear structure: a lead sentence with purpose, a brief explanation, and an Args section. No redundant or extraneous content.

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?

The description covers inputs, basic behavior, and return type (JSON with space_id). It is reasonably complete for a creation tool, but it could mention error conditions or prerequisites (e.g., authentication) for full completeness.

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 provides explanations for all four parameters (name, description, allowed_agents, tags). While brief, it adds meaning beyond type info, though it could include more detail on formats (e.g., agent ID format).

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 verb (create) and resource (space) and explains its purpose for multi-agent collaboration with fine-grained permissions. It distinguishes from sibling tools like delete_space, update_space, and list_spaces.

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 context on when to use the tool (to create a space for agent collaboration) and mentions ownership and permissions. However, it does not explicitly state when not to use it or suggest alternatives, though the usage is clear.

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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