dataverse_list_users

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description adds minimal behavioral context beyond confirming it's a read operation. No contradictions, but description doesn't expand on safety or side effects 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences, front-loaded with the main action and resource. Each sentence adds distinct information (purpose, returned fields, filtering guidance, alternative tool). No filler.

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

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

Given the presence of an output schema and the tool's straightforward nature (list with filter/pagination), the description covers key aspects: what it returns, how to filter, and when to use an alternative. Leaves no major gaps.

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

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

The input schema provides detailed descriptions for all parameters. The description adds value by giving concrete filter examples (e.g., 'isdisabled eq false') and clarifying default return columns, which enhances usability beyond the schema alone.

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

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

The description clearly states the action 'List system users' and identifies the resource type, distinguishing it from the sibling tool 'dataverse_get_user' for full details. It lists returned fields, making the purpose unambiguous.

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

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

Provides guidance on using the filter parameter to narrow results and explicitly recommends using 'dataverse_get_user' for full details on a specific user. No explicit when-not-to-use, but sufficient context for agent decision.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.