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DanielTomaro13

sportsdata-mcp

nbl_player_stats

Get season statistics for an NBL player: per-game averages for points, rebounds, assists, blocks, steals, turnovers, plus shooting percentages, fouls, and minutes.

Instructions

Season statistics for one player — points/rebounds/assists/blocks/steals/turnovers and their per-game averages, shooting splits (field goals / three-pointers / free throws made-attempted-percentage), fouls, minutes. playerId is the player UUID from nbl_players.

Returns: {type, count, data:[{points_average, rebounds_total_average, assists_average, blocks_average, steals_average, turnovers_average, field_goals_percentage, three_pointers_percentage, free_throws_percentage, fouls_average, minutes}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerIdYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as authentication needs, rate limits, or error responses. The return structure is described, but that alone is insufficient.

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 and front-loaded, listing the stats clearly. The return type is specified in a separate paragraph without unnecessary repetition.

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?

For a simple tool with one parameter and no output schema, the description covers the basic functionality and return structure. However, it lacks differentiation from sibling tools, error handling, and instructions on obtaining playerId.

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 context for playerId by stating it is a UUID from nbl_players, which is helpful given 0% schema description coverage. However, no further detail on format or constraints is provided.

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 that the tool returns season statistics for one player, listing specific stats (points, rebounds, etc.) and referencing playerId as a UUID. It distinguishes from sibling tools like nbl_player_boxscores, though not explicitly.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, use cases, or exclusions.

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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