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List Engineering Teams

list_teams
Read-onlyIdempotent

List all engineering teams in the organization with their member counts and slugs. Use this to discover team IDs needed for filtering other metrics tools. Returns an array of team objects with id, name, slug, and memberCount. Read-only.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_teams"
  }
}

Input Schema

NameRequiredDescriptionDefault
searchNoFilter teams by name substring (case-insensitive). Omit to list all teams.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, and the trailing 'Read-only' merely restates them. The valuable addition is the return shape ('array of team objects with id, name, slug, and memberCount'), which matters because no output schema exists, but nothing is said about ordering, pagination, or result-size limits for an open-world listing.

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

Conciseness4/5

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

Three short sentences, front-loaded with purpose then usage then return shape. The closing 'Read-only' is wasted since annotations already carry the safety profile, keeping it just short of ideal.

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

Completeness4/5

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

For a single optional-parameter listing tool this is nearly complete: purpose, how to use the IDs downstream, and the returned fields are all present without an output schema. Missing only edge details such as whether an empty search string behaves like omission and any result cap.

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

Parameters3/5

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

Schema description coverage is 100% and the single 'search' parameter is fully documented there (case-insensitive name substring, omit to list all). The description never mentions filtering at all, so it adds no meaning beyond the schema; baseline 3 applies.

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

Purpose4/5

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

States a specific verb and resource ('List all engineering teams in the organization') and adds what is returned (member counts, slugs). It implicitly contrasts with the singular get_team sibling but never names it, so differentiation is by plurality only.

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

Usage Guidelines4/5

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

Gives clear positive guidance: 'Use this to discover team IDs needed for filtering other metrics tools.' No explicit when-not or named alternative (e.g., get_team for a single team, search for cross-entity lookup), so routing between siblings is left partly to inference.

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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