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nick-graves

hudl-mcp-server

by nick-graves

get_box_score

Retrieve team-level box score comparison between Aloha and their opponent, showing performance across all statistical categories for a specific game or season averages.

Instructions

Get the team-level box score comparison between Aloha and their opponent, showing how each team performed across all statistical categories. Use game="season" to get season averages across all games, or specify a game the same way as get_game_stats: "latest" (default), opponent name (e.g. "Beaverton"), date (e.g. "May 18"), or 0-based index newest-first. Single-game results use totals; season results use per-game averages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameNoGame identifier: "latest" (default), "season" for full-season averages, opponent name, date (e.g. "May 18"), or 0-based index newest-first.
seasonNoSeason identifier. Defaults to current season.
refreshNoSet true to bypass cache and re-fetch from Hudl.
Behavior4/5

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

Discloses key behaviors: default game value, difference between single-game totals and season averages, and refresh caching option. No contradictions with annotations (none provided).

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 sentences, front-loaded with purpose, no wasted words. Efficiently conveys all necessary information.

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?

Given 3 parameters, no output schema, and no annotations, the description fully covers how to use the tool and what to expect from results (totals vs averages).

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?

Adds significant context beyond the input schema, explaining the range of game identifiers and the behavioral difference between single-game and season results. Schema coverage is 100%, baseline 3, extra detail earns 4.

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 it gets the team-level box score comparison between Aloha and opponent, distinguishing it from sibling tools like get_game_stats and get_team_stats.

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?

Provides clear guidance on when to use (for box score comparison) and how to specify games (season, latest, opponent, date, index), but lacks explicit when-not-to-use or alternative tool mentions.

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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