list_teams
Retrieve the Microsoft Teams you are a member of to get a list of joined teams for navigation and management.
Instructions
List Teams the user has joined
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the Microsoft Teams you are a member of to get a list of joined teams for navigation and management.
List Teams the user has joined
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It implies a read operation ('List') and specifies scope (teams the user joined), but does not disclose potential details like authentication requirements, pagination, or return format. For a simple list, this is adequate but not rich.
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, front-loaded sentence with no fluff. Every word adds value.
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, no-output-schema list operation, the description fully conveys the function. It lacks only optional details about result ordering or content, but given the low complexity and lack of output schema, it is sufficiently 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?
The tool has zero parameters, so the description need not explain any. Schema coverage is 100% vacuously, and the baseline for 0 params is 4.
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 uses a specific verb 'List' with resource 'Teams' and scope 'the user has joined', clearly distinguishing it from sibling tools like list_chats and list_channels. It leaves no ambiguity about what the tool does.
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 clearly indicates this is for listing teams the user has joined, and sibling names make it obvious that other list tools handle chats/channels. However, it does not explicitly state when-not-to-use or name alternatives, so it lacks the explicit exclusions of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/imatiach-msft/teams-mcp'
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