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list_all_users

Retrieve a complete list of users in your Portkey organization with their roles and account details for management and oversight.

Instructions

List all users in your Portkey organization, including their roles and account details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool lists users with roles and account details, but doesn't disclose behavioral traits like pagination, sorting, filtering, rate limits, authentication requirements, or what 'all users' entails (e.g., active only, includes deleted?). For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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, efficient sentence that front-loads the core action ('List all users') and adds clarifying details ('in your Portkey organization, including their roles and account details'). There's zero waste or redundancy, making it easy to parse quickly.

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

Completeness3/5

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

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It covers the basic purpose but lacks behavioral details (e.g., output format, pagination) that would help an agent use it correctly. For a list operation with no structured support, more context on what 'list' entails would improve 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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing on the tool's purpose. With no parameters, the baseline is 4, as the description doesn't need to compensate for any schema gaps.

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 your Portkey organization') with specific scope ('including their roles and account details'). It distinguishes from siblings like 'get_user' (singular) and 'get_users_analytics' (analytics-focused), though it doesn't explicitly name alternatives. The purpose is unambiguous but could be more precise about sibling differentiation.

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 like 'get_user' (for a specific user) or 'list_user_invites' (for pending invites). There's no mention of prerequisites, context, or exclusions. Usage is implied by the name and description alone, lacking explicit when/when-not instructions.

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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