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teams_list_teams

List all Microsoft Teams teams and their channels to view team structure and channel names.

Instructions

List Teams and their channels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.js:73-73 (registration)
    Tool registration entry in the TOOLS array defining the 'teams_list_teams' tool with description 'List Teams and their channels'.
    ["teams_list_teams", "List Teams and their channels"],
  • Generic handler loop that registers each tool (including teams_list_teams) with an empty schema and a stub response. The real implementation is in a native binary not present in this codebase.
    for (const [name, desc] of TOOLS) {
      server.tool(name, desc, {}, async () => ({
        content: [{ type: "text", text: "This is an inspection stub. Install Local MCP: npx -y local-mcp@latest setup" }],
      }));
  • Empty schema object passed as third argument to server.tool(), meaning no input validation is defined in this stub.
    server.tool(name, desc, {}, async () => ({
Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose authentication needs, rate limits, output format, or any edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded, no filler. Every word is necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple listing tool with no parameters and no output schema, the description is adequate but could mention scope (e.g., all teams user has access to).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so schema coverage is 100%. The description adds the resource being listed (teams and channels), which is sufficient for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists teams and their channels, distinguishing it from sibling tools like teams_list_channels which likely lists channels for a specific team.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use vs alternatives. Usage context is implied (e.g., when you need all teams and channels), but no explicit exclusions or alternative suggestions.

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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