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nba_hustle_stats

Read-only

Get NBA hustle statistics for one game. Returns the hustle statistics for one game: minutes plus contested shots (overall, two-point and three-point), deflections, charges drawn, screen assists and screen-assist points, loose balls recovered (offensive, defensive and total) and box-outs. Marker-verified columns are PLAYER_ID, TEAM_ID, MINUTES, CONTESTED_SHOTS, CONTESTED_SHOTS_2PT, CONTESTED_SHOTS_3PT, DEFLECTIONS, CHARGES_DRAWN, SCREEN_ASSISTS, SCREEN_AST_PTS, OFF_LOOSE_BALLS_RECOVERED, DEF_LOOSE_BALLS_RECOVERED, LOOSE_BALLS_RECOVERED and BOX_OUTS; the sampled BOX_OUTS_PLAYER and BOX_OUTS_TEAM names did not match and are not claimed.

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": "nba_hustle_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault
game_idNoTen-digit game id from nba-scoreboard, for example 0022600196.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, openWorldHint), and the description adds genuine context beyond them by disclosing a data-quality caveat: which columns are marker-verified and that the sampled BOX_OUTS_PLAYER/BOX_OUTS_TEAM names did not match and are deliberately not claimed. It does not address failure behavior for invalid or missing game ids, which keeps it below a 5.

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

Conciseness3/5

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

The purpose is correctly front-loaded, but the middle portion enumerates the same return columns the output schema already declares, spending significant length on redundant content. The final sentence about marker-verified columns earns its place because it conveys information not available elsewhere.

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 restate return values, and the key ambiguity it does resolve is which columns the response can be trusted to contain. For a single-parameter read-only lookup this is essentially complete, with only error/edge-case behavior left 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 coverage is 100% and the single game_id parameter is fully documented in the schema with a format example and provenance. The description adds no parameter-level meaning beyond that, so the 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?

The description opens with a specific verb and resource, 'Get NBA hustle statistics,' and scopes it to 'one game,' which distinguishes it in spirit from the player- and team-level hustle siblings. It stops short of naming those siblings explicitly, so the differentiation must be inferred from the 'one game' scope rather than stated.

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

Usage Guidelines3/5

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

Usage is implied only: 'for one game' signals the game-level granularity, and the schema's game_id example ('Ten-digit game id from nba-scoreboard') hints at the prerequisite source. There is no explicit when-to-use statement and no pointer to nba_hustle_player or nba_hustle_team for player- or team-aggregated alternatives.

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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