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List teams

list_teams
Read-onlyIdempotent

Use when you need team abbreviations, or to see all 32 active NHL teams with city, conference, division, and arena. Excludes historical franchises (ATL, ARI). Cheapest tool at 1 credit.

Input Schema

NameRequiredDescriptionDefault
leagueNoLeague. Defaults to nhl. One of: nhl, pwhl, ohl, whl, qmjhl, echl, ahl, ushl.
divisionNoFilter by division
conferenceNoFilter by conference

Output Schema

NameRequiredDescriptionDefault
countYes
teamsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / league / description
      Previous value: -"League. Defaults to nhl. One of: nhl, pwhl, ohl, whl, qmjhl, echl."New value: +"League. Defaults to nhl. One of: nhl, pwhl, ohl, whl, qmjhl, echl, ahl, ushl."
    • changedInput schema / properties / league / enum
      Previous value: -[
      -  "nhl",
      -  "pwhl",
      -  "ohl",
      -  "whl",
      -  "qmjhl",
      -  "echl"
      -]New value: +[
      +  "nhl",
      +  "pwhl",
      +  "ohl",
      +  "whl",
      +  "qmjhl",
      +  "echl",
      +  "ahl",
      +  "ushl"
      +]
  2. Changed2 schema fields changed
    • changedInput schema / properties / league / description
      Previous value: -"League. Defaults to nhl. One of: nhl, pwhl."New value: +"League. Defaults to nhl. One of: nhl, pwhl, ohl, whl, qmjhl, echl."
    • changedInput schema / properties / league / enum
      Previous value: -[
      -  "nhl",
      -  "pwhl"
      -]New value: +[
      +  "nhl",
      +  "pwhl",
      +  "ohl",
      +  "whl",
      +  "qmjhl",
      +  "echl"
      +]
  3. Changed1 schema field changed
    • addedInput schema / properties / league
      Added value: +{
      +  "description": "League. Defaults to nhl. One of: nhl, pwhl.",
      +  "enum": [
      +    "nhl",
      +    "pwhl"
      +  ],
      +  "type": "string"
      +}
  4. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/closed-world, so the bar is lower; the description still adds real value by disclosing the historical-franchise exclusion and the credit cost. It doesn't say whether results are paginated or ordered, but that is minor for a small fixed list.

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?

Two tight sentences, front-loaded with the usage trigger, then scope, exclusions and cost — no filler.

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?

An output schema exists so return values need no explanation, and annotations plus the description cover safety and scope. The remaining gap is that multi-league support and filter behavior are never acknowledged in prose.

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 coverage is 100% and both enums are documented inline, so the schema carries parameter meaning. The description adds nothing about league/division/conference filtering beyond the word 'active', and its '32 NHL teams' phrasing could mislead an agent into ignoring the league parameter.

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 ('see all 32 active NHL teams') and enumerates the returned fields (city, conference, division, arena), which clearly separates it from stat/game-oriented siblings. The framing is narrowed to NHL even though the schema supports eight leagues, so the scope statement is slightly narrower than the tool actually is.

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?

'Use when you need team abbreviations' gives a concrete triggering condition, and 'Excludes historical franchises (ATL, ARI)' pre-empts a likely user request. It also flags cost ('Cheapest tool at 1 credit'), which helps routing decisions, though no sibling alternative is named.

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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