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Player Search

sports.bdl.players
Read-onlyIdempotent

Search NBA players by name or team ID. Returns position, jersey number, and current team.

Instructions

Search NBA players by name — returns position, jersey number, and current team. Example: "lebron" → LeBron James #23 F, Los Angeles Lakers (BallDontLie)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch by player name (e.g. "lebron", "curry", "mahomes")
team_idNoFilter by team ID
limitNoMax results (1-25, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint true and destructiveHint false. The description adds the return context (position, jersey, team) and an example, but does not disclose additional behavioral traits such as rate limits or pagination. The description does not contradict annotations.

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?

The description is two sentences: a clear purpose-and-returns statement followed by an illustrative example. It is front-loaded and contains no redundant information, making it highly concise.

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?

The description covers the core functionality and return fields. Since an output schema exists, it does not need to detail return values. However, it could mention that multiple results are possible given the limit parameter, but overall it is sufficient for a search tool.

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%, with all three parameters described. The description adds an example for 'search' but does not provide additional semantic meaning beyond the schema descriptions. Score baseline 3 as per guidelines for high coverage.

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 searches NBA players by name, specifies the returned fields (position, jersey number, current team), and includes a concrete example. It effectively distinguishes from sibling tools like sports.bdl.teams and sports.bdl.games.

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?

The description implies usage when a player search is needed, but does not explicitly state when to use this versus alternative tools (e.g., sports.basketball.games for stats). No 'when not to use' or exclusion criteria are provided.

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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