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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds the user-identifier guidance but no additional behavioral details such as pagination, ordering, or inclusivity of users. This is acceptable given the low-risk, read-only nature.

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?

Two short sentences, each earning its place: one defines the tool's function, the other explains how to use its output. It is front-loaded and free of 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?

For a parameterless, read-only tool with no output schema, the description provides the essential information: what is listed and how to use the results. It stops short of describing edge cases or exact response shape, but those are not critical for this simple tool.

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?

There are no parameters, so parameter semantics are a non-issue. The description still usefully indicates that the output contains names, handles, or emails, which helps agents consume the result when filling user parameters in other tools.

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?

Description clearly states the resource ('people in the workspace') and the verb ('List'), and adds the practical purpose of supplying user identifiers. However, it does not explicitly distinguish itself from the sibling tool 'list_members', which could create some ambiguity.

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?

The description gives clear context: use this list to obtain names, handles, or emails for any tool that asks for a user. It does not provide explicit exclusions or alternatives, but for a simple parameterless listing tool the guidance is adequate.

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