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get_match_squads

Retrieves starter lineups, formations, and bench players for both teams. [CRITICAL]: Requires a valid matchId obtained from getEvents or getLiveEvents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
matchIdYesThe unique numeric ID.

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds a 'CRITICAL' note about the required matchId provenance, which is helpful. However, it does not disclose potential failure modes, return structure, or any side effects. It is not misleading but leaves some transparency gaps.

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?

Two sentences, each earning its place. The first states the core purpose; the second provides a critical prerequisite. Information is front-loaded with no filler or repetition.

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?

For a simple one-parameter tool with no output schema, the description adequately covers what data is returned (starter lineups, formations, bench) and how to obtain the required ID. Minor gaps like error handling or response format do not significantly hinder usage.

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?

Although the schema describes matchId as 'The unique numeric ID' (100% coverage), the description adds meaningful semantics by specifying that the ID must come from getEvents or getLiveEvents. This goes beyond the schema and aids correct parameter selection.

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 uses a specific verb ('Retrieves') and clearly states the resource ('starter lineups, formations, and bench players for both teams'). This precisely distinguishes it from sibling tools like get_match_details or get_team_usual_lineup, which serve different purposes.

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 provides a critical prerequisite (requires matchId from getEvents or getLiveEvents), giving useful context on when to call it. However, it does not explicitly indicate when to prefer this tool over alternatives like get_team_usual_lineup, nor does it mention any 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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (e.g., timelines vs stats vs lineups), but there are several closely related match-stat and season-fixture tools that could be confused, such as get_match_stats vs get_detailed_match_stats vs get_match_details_extended.

Naming Consistency4/5

All tools use a consistent get_ prefix and snake_case, but naming conventions vary in structure (e.g., get_season_fixtures2 vs get_livescore_season_fixtures) and one tool includes an arbitrary number suffix ('fixtures2'), which is a minor deviation.

Tool Count2/5

With 41 tools, the server is significantly overscoped for typical MCP use. Although the soccer domain is broad, the sheer number of highly granular tools makes it heavy and harder to navigate.

Completeness4/5

The tool set covers nearly every aspect of soccer data: fixtures, live scores, match details, standings, top scorers, injuries, referees, team streaks, and more. Minor gaps exist, such as no direct team search or player match performance, but the surface is otherwise comprehensive.

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