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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds valuable context: expertise is descriptive and never grants permissions, and the returned membershipId/revision are meant for a subsequent update. This goes beyond the 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?

Three sentences, each earning its place: what is read, a critical caveat about permissions, and a pointer to the returned identifiers' use. No fluff, front-loaded with the core purpose.

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 zero-parameter read tool with strong annotations, the description is nearly complete. It explains the output's purpose (membershipId and revision for updates) and the permission caveat. It doesn't describe the full return shape, but with no output schema and a simple read, this is a minor gap.

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 tool has zero parameters, so there is no parameter semantics burden. The description correctly notes the tool takes no input and focuses on output semantics, which is the appropriate compensation. Baseline 4 for zero params is appropriate.

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 tool reads current Team/Enterprise members, business functions, and expertise. It distinguishes itself from workspace_members by specifying Team/Enterprise scope, and from update_member_expertise by being a read operation. However, it doesn't explicitly name a sibling alternative, so it doesn't fully differentiate.

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 implies when to use it: when you need current team/enterprise member profiles, and it hints at a follow-up action (use returned membershipId and revision for an administrator update). It doesn't explicitly state when not to use it or name alternatives like workspace_members, but the context is reasonably clear.

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