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DanielTomaro13

sportsdata-mcp

seriea_players

Read-onlyIdempotent

Get Serie A player stats for any season by providing a season ID. Choose General or Goalkeeping stats, browse pages of 30 players, and access full Opta data—including player identity and team details—without extra API calls.

Instructions

Every player in a season with identity AND full Opta stats[] (~279 {statsId, statsValue} pairs) — no separate squad call needed. Paginated 30/page (pagination.totalPages / isLastPage; the pageSize param is ignored). NOTE: category selects which STAT SET is returned (General or Goalkeeping; others 400) — it is NOT a position filter, every category returns all players.

Returns: {players:[{playerId, displayName, mediaFirstName, mediaLastName, shirtName, role (1 GK,2 DEF,3 MID,4 FWD), roleLabel, nationalityIsoCode, team, imagery, stats:[{statsId, statsValue}]}], pagination:{totalPages, currentPage, isLastPage}}

Example: 2025/26 outfield player stats, page 1 {"seasonId": "serie-a::Football_Season::5f0e080fc3a44073984b75b3a8e06a8a", "category": "General", "page": 1}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page (30 players/page; total via pagination.totalPages).
localeNoLabel language.en-GB
categoryNoStat category — only General and Goalkeeping are valid (Attack/Defence/etc. return 400).General
seasonIdYesSDP season id (from seriea_seasons). Required — part of the URL path.
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds valuable behavioral details: category values other than General/Goalkeeping return 400, pageSize parameter is ignored, pagination fields (totalPages/isLastPage), and the return structure. It also confirms no auth is needed, exceeding what annotations provide.

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 well-organized with distinct sections: purpose, pagination, category warning, return format, example, and auth. It is somewhat long but every sentence adds valuable information without redundancy. The use of code blocks and notes improves readability.

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

Completeness5/5

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

For a tool with no output schema, the description compensates by fully specifying the return shape. It also covers critical constraints (category values, pagination, auth), provides an example, and addresses potential misuse. This makes it comprehensively actionable for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds meaningful semantics beyond the schema: category selects the stat set rather than filtering by position, and the example provides a concrete seasonId and page usage. It also clarifies pagination fields, which the schema only partially communicates.

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 the tool returns every player in a season with identity and full Opta stats, which is a specific verb+resource pair. It distinguishes itself from sibling tools by noting 'no separate squad call needed' and clarifying the scope (all players, not just a squad).

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

Usage Guidelines4/5

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

The description provides strong usage context: pagination behavior (30/page, pageSize ignored), category semantics (not a position filter), and an explicit example. It implies alternatives ('no separate squad call needed') but does not name specific sibling tools, slightly reducing its guidance value.

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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