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get_standings

Read-only

Use when checking where teams rank in their division or conference. Returns points, wins, losses, OT losses, point%, goal differential, goals for/against per game, and 5v5 possession: Corsi%, Fenwick% and expected goals for and against. The possession columns are 5v5 only, so they will not match a goalie's expected goals against, which covers every strength. Defaults to the most recent season with standings. Costs 2 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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 current season.
divisionNoFilter by division (e.g. Atlantic, Metropolitan, Central, Pacific)
conferenceNoFilter by conference

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
standingsYes
snapshot_dateYes

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

A4.2/5.0
Behavior4/5

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

Annotations already establish this is a read-only, closed-world call. The description goes beyond them by disclosing the credit cost (2 credits), the default season behavior, and a data-scope caveat that 5v5 possession metrics will not match a goalie's all-strength expected goals against.

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?

Front-loaded with the use case, followed by returns, then the caveat and cost. Every sentence is informative, though the long enumeration of stat columns is dense relative to what the output schema likely already conveys.

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

Completeness5/5

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

With an output schema present and full parameter coverage, the description needs only to frame the scenario, defaults, and cost, all of which it does. Nothing an agent needs to invoke this correctly is missing.

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 league, season, division, and conference are all self-documented with formats, enums, and defaults. The description adds no parameter-level detail, so the baseline 3 applies.

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 opening sentence ('Use when checking where teams rank in their division or conference') gives a specific verb-like action and resource, and immediately enumerates the returned fields. An agent can distinguish it from get_team_stats or get_goalie_stats without opening any schema.

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?

It states the scenario that should trigger the tool and notes that it defaults to the most recent season with standings. It does not name an alternative tool or state when not to use it, so it stops short of full routing 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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