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labeveryday

nba-stats-mcp

by labeveryday

get_player_stats

Retrieve NBA player statistics including season, career, game logs, hustle, defense, and advanced metrics using player name or ID.

Instructions

Player stats. stat_type: season (default), career, game_log, hustle, defense, advanced. Accepts player name or ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerYes
stat_typeNoseason
seasonNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description should disclose behavioral traits like read-only status, rate limits, or authentication needs. It only states it returns stats, lacking any such transparency.

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?

The description is concise (two sentences) and front-loaded with the core purpose. The stat_type list is efficient. No wasted words.

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

Completeness3/5

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

Output schema exists, so return values are documented. However, the description omits the required player parameter and season usage, leaving gaps for a moderately complex tool with 3 parameters.

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?

The description adds meaning for stat_type (listing options) and player (accepts name or ID), but does not explain the season parameter (e.g., format, required when stat_type is 'season'). Given 0% schema coverage, more detail is needed.

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 clearly states the tool provides player stats and lists valid stat_type values (season, career, etc.). It mentions accepting player name or ID, which distinguishes it from sibling tools like get_player_info or get_player_awards that focus on other aspects.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus siblings like compare_players, get_player_info, or get_shooting_data. The description does not help the agent choose among the 20 sibling tools.

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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