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

Annotations already declare readOnly/idempotent/non-destructive, and the description still adds value by disclosing the null-GitHub-login edge case, which is essential for interpreting results. It does not state ordering or whether the result is ever truncated for large teams, which is a meaningful gap for a 'list all' tool.

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 sentences: the first front-loads what is returned, the second gives the usage context and the safety profile. Nothing is redundant and no filler is present.

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?

There is no output schema, so the description carries the burden of describing return values, and it does so field by field including null semantics. Missing only secondary details such as ordering, size limits, or whether role values are enumerated.

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?

Only one parameter, teamId, and schema description coverage is 100% with an explicit pointer to list_teams. The description adds no additional meaning about the ID format or scope, so it sits at the baseline where the schema does all the work.

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?

Names a specific verb ('List all members') and resource ('of a specific team') and enumerates exactly what is returned: name, email, GitHub login, team role, organization role. An agent can tell this apart from list_teams (which returns teams, not members) and get_developer (which consumes a login rather than listing one).

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?

Gives two concrete usage contexts ('understand team composition' or 'find developer logins for the get_developer tool'), which chains it to a sibling correctly; the schema also routes to list_teams for ID resolution. It stops short of saying when not to use it or how it differs from get_team, so it is clear but not fully exhaustive.

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