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linear_get_users

Retrieve all workspace users to manage team access and assign tasks in Linear projects.

Instructions

List all users in the workspace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It states the action ('List all users') but doesn't describe return format (e.g., pagination, fields included), error conditions, rate limits, or authentication requirements. For a tool with zero annotation coverage, this is insufficient to inform the agent about how the tool behaves beyond its basic purpose.

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 a single, clear sentence that efficiently conveys the core action without unnecessary words. It is front-loaded with the essential information ('List all users in the workspace'), making it easy for an agent to parse quickly. There is no wasted language or redundant phrasing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one optional parameter, no output schema, no annotations), the description is incomplete. It lacks details on return values (e.g., user object structure), error handling, and practical usage context. While concise, it doesn't provide enough information for an agent to confidently invoke the tool without additional assumptions or trial-and-error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter ('limit') with 0% description coverage, and the tool description provides no information about parameters. The description doesn't mention the 'limit' parameter, its purpose (e.g., pagination control), or default value, leaving the agent to infer usage from the schema alone. With low schema coverage, the description fails to compensate by explaining parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('all users in the workspace'), making the purpose immediately understandable. It distinguishes this from sibling tools like linear_create_issue or linear_update_issue by focusing on user retrieval rather than issue management. However, it doesn't explicitly differentiate from linear_get_teams or linear_get_workflow_states in terms of resource type specificity.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication needs), compare it to sibling tools like linear_search_issues for filtered queries, or indicate scenarios where listing all users is appropriate. Without annotations or context signals about usage, this leaves the agent with minimal direction.

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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