List team members
list_team_membersUsers on the project, with names and emails. Use to resolve user IDs from schedules/policies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_team_membersUsers on the project, with names and emails. Use to resolve user IDs from schedules/policies.
| 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?
The description adds return-content context ('names and emails') and the scoping 'on the project' beyond the readOnlyHint annotation. It does not mention pagination or exact ID fields, but for a zero-parameter read-only list this is acceptable detail.
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 carry all the necessary information, with the core result stated first and the use case immediately after. There is no filler or repeated schema content.
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, read-only, parameterless list tool without an output schema, the description tells the agent what the call returns and why to call it. No additional context is needed to invoke it correctly.
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 the input schema is trivially complete and there is nothing for the description to explain. The baseline of 4 for a parameterless tool applies.
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 title supplies the verb-resource pair ('List team members') and the description specifies the exact resource: users on the project, including names and emails. This clearly distinguishes it from sibling list tools such as list_monitors or list_on_call_schedules, which target different resources.
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 provides a concrete use case: resolve user IDs from schedules/policies. It does not name exclusion criteria or alternative tools, but the intended context is clear and no sibling tool covers project users.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.