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SportStatsAPI

get_player

Read-only

Player profile: position, nationality, birth date, height, team, career and photo link where known.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNolanguage of team, league and country names: de, es, it or fr (default English)
sportYessport (see list_sports)
player_idYesplayer id from a squad or lineup

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=false, so the safety profile is covered. The description adds a small nuance with 'where known', signaling optional/missing fields. It does not disclose behavior when a player_id is invalid or not found, which for a read tool with annotations covering the basics is a modest but acceptable gap.

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?

A single compact fragment with zero filler, front-loading the most useful information (it returns a player profile with these fields). It is efficient, though it is a noun-phrase list rather than a structured statement of purpose and usage.

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?

With no output schema, the description usefully documents the returned fields, which is the main completeness requirement here. It falls short on when-to-use and error behavior, but for a simple lookup whose annotations cover read-only safety, it is adequate without being complete.

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 description coverage is 100%, so lang, sport, and player_id are fully documented in the schema itself (including that player_id comes from a squad or lineup). The description adds no parameter meaning beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the fields returned (position, nationality, birth date, height, team, career, photo) which effectively identifies it as a player-profile lookup, and the name supplies the verb. However it never states the action (retrieves a player profile) explicitly and does not differentiate from siblings like get_team or get_match beyond the player-specific field list. Purpose is inferable but stated as output content rather than intent.

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?

There is no when-to-use guidance, no mention of prerequisites (e.g. that a valid player_id must come from a squad/lineup call), and no routing to alternatives among the twelve siblings. The only hint toward usage lives in the schema, not the description.

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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