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Skater season stats

get_skater_season_stats
Read-only

Use when ranking skaters or comparing scoring. Returns a leaderboard sorted by points, goals, assists, plus/minus, or shots, with a games-played filter. Includes power play and shorthanded production, shooting%, faceoff%, and average time on ice. Seasons from 2010-11 on. Costs 5 credits.

Input Schema

NameRequiredDescriptionDefault
teamNoFilter by team abbreviation
limitNoMax results (default 20)
leagueNoLeague. Defaults to nhl. One of: nhl, pwhl, ohl, whl, qmjhl, echl, ahl, ushl.
seasonNoSeason ID, 8-digit (e.g. 20242025 for 2024-25). 2024-25 and 2024-2025 also accepted. Defaults to the most recent season with stats, which is the current season once it is under way and the previous one before that. The season actually used is echoed in filters.season.
sort_byNoSort metric (default points)
min_gamesNoMinimum games played (default 10; early in a season, half the most games anyone has played so far)

Output Schema

NameRequiredDescriptionDefault
countYes
filtersYes
skatersYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / min_games / description
      Previous value: -"Minimum games played (default 10)"New value: +"Minimum games played (default 10; early in a season, half the most games anyone has played so far)"
  2. 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"
      +]
  3. 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"
      +]
  4. Changed1 schema field changed
    • addedInput schema / properties / league
      Added value: +{
      +  "description": "League. Defaults to nhl. One of: nhl, pwhl.",
      +  "enum": [
      +    "nhl",
      +    "pwhl"
      +  ],
      +  "type": "string"
      +}
  5. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, so the safety profile is covered. The description adds genuinely useful non-schema behavior: the 5-credit cost and the historical coverage boundary (seasons from 2010-11 on), both of which affect whether an agent should call it.

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?

Four tight sentences, front-loaded with the trigger condition, then output contents, then the two operational constraints (season range, cost). No sentence is redundant with another, and nothing is buried.

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?

With an output schema present, the description needn't enumerate return fields, yet it usefully previews the stat categories available. Combined with the cost and season-range notes, an agent has everything needed to decide and call correctly; only the fallback routing to a sibling for non-leaderboard queries is unstated.

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%, so every parameter (team, league, season, sort_by, min_games, limit) is already documented with defaults and formats. The description echoes the sort metrics and the games-played filter without adding syntax or semantics beyond the schema, so 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 concrete verb+resource pair: returns a ranked skater leaderboard with sortable metrics and filters. It implicitly differentiates from get_player_stats (single-player) and get_goalie_stats by framing itself as a leaderboard, but never names those siblings, so differentiation is inferred rather than explicit.

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 ranking skaters or comparing scoring" gives a clear selection context, which is exactly the scenario where a leaderboard tool beats a per-player tool like get_player_stats. It stops short of explicit exclusions or naming the alternative tool, so it clears the bar for clear context but not full when/when-not guidance.

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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