List workspace members
list_membersList workspace membership with each person role, which is what decides what they may do.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_membersList workspace membership with each person role, which is what decides what they may do.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context by explaining that roles determine permissions ('which is what decides what they may do'), which goes beyond the structured metadata. It does not contradict any 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?
The description is a single, well-structured sentence that front-loads the verb and resource, then adds the key differentiator (role) and its significance. Every word contributes to understanding, with no unnecessary 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 simple list tool with no parameters and no output schema, the description fully explains what the tool does and what it returns (membership with roles). It covers the essential information an agent needs to decide whether to call it and what to expect.
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 no parameters, so schema coverage is trivially 100%. The description adds meaning about the return content (roles and their implications), which is valuable given there is no output schema. With zero parameters, this is a strong baseline, and the description enhances it.
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 verb 'List' and the resource 'workspace membership', and further specifies that it includes each person's role. This distinguishes it from sibling tools like list_users and list_teams, which likely don't include role information. It is specific and 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?
The description does not provide any guidance on when to use this tool versus alternatives like list_users or list_teams. It implies a purpose but does not explicitly state the conditions or exclusions. For a tool with no parameters, this is a notable gap because an agent might confuse it with other listing tools.
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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