list_members
A team workspace's members (name, email, role: owner, admin or member) and, for its owner and admins, the invites waiting. workspace: its name or id (list_workspaces).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workspace | Yes |
A team workspace's members (name, email, role: owner, admin or member) and, for its owner and admins, the invites waiting. workspace: its name or id (list_workspaces).
| Name | Required | Description | Default |
|---|---|---|---|
| workspace | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden, and it does disclose a meaningful behavioral trait: invites are only returned for workspace owners and admins. It does not state that the call is read-only, nor anything about pagination or result size, which is a gap for an annotation-free 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?
A single telegraphic sentence delivers the resource, its fields, the conditional invite visibility, and the parameter source with no wasted words. The terse, fragment-like phrasing is efficient, though slightly harder to parse than a full sentence.
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 one-parameter read tool with no output schema, the description covers the returned fields, the permission-conditional invite data, and how to supply the workspace identifier. Only the lack of read-only/pagination context keeps it from being fully complete.
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?
Schema description coverage is 0%, so the description must compensate, and it does: 'workspace: its name or id' clarifies the accepted value form and points to list_workspaces as the source. Only one parameter exists, so this is close to complete coverage.
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 names the exact resource and its returned fields (name, email, role: owner/admin/member) plus the guest invites, which lets an agent distinguish it from list_workspaces and invite_member. It is a noun phrase rather than a verb-led statement, so the 'list' action is only implied by the tool name.
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 parenthetical '(list_workspaces)' points to the sibling used to obtain a workspace name or id, giving implicit routing guidance. However, there is no explicit statement of when to call this versus list_workspaces or invite_member, and no prerequisites beyond the workspace argument.
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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