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labeveryday

nba-stats-mcp

by labeveryday

get_leaders

Fetch NBA league leaders for points, assists, rebounds, and more by season or scope such as current season, all-time, or hustle stats.

Instructions

League leaders. scope: current_season (default), all_time, hustle. category: points, assists, rebounds, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNopoints
scopeNocurrent_season
seasonNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It lists available scope and category options but does not explain what the tool does with the limit, season parameters, or whether it is read-only. The output format is not described, and no restrictions or side effects are mentioned.

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 extremely concise, using a single sentence and keyword examples. While it gets the point across, it could be better structured with separate lines or bullet points for clarity. No wasted words.

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

Completeness2/5

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

Given the presence of an output schema, the description need not detail return values. However, it only covers two of four parameters superficially, and lacks guidance on valid values or usage context. The sibling tools provide some context but the description is not complete enough for an agent to use confidently.

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?

With 0% schema description coverage, the description partially compensates by explaining the meaning of 'scope' and 'category' with examples. However, 'season' and 'limit' are not addressed, and the values for category and scope are not formally defined.

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 'League leaders' with scope and category examples clearly indicates that the tool retrieves top performers. It distinguishes from siblings like get_player_stats or get_standings by focusing on leaders. However, it lacks a verb and could be more explicit about the operation.

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 guidance is provided on when to use this tool versus alternatives like compare_players or get_player_stats. There is no mention of when to choose different scopes or categories, nor any exclusions or prerequisites.

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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