Retrieves comprehensive fixtures and schedule for a specific season, enriched with robust analytics and statistical pre-match data. [CRITICAL]: Requires a valid seasonId obtained from getConfigTreeMini.
| Name | Required | Description | Default |
|---|---|---|---|
| seasonId | Yes | The unique numeric ID of the season. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It uses 'Retrieves' to imply a read-only operation and discloses the dependency on a valid seasonId, but does not mention pagination, error behavior, rate limits, or response format. Some behavioral context is present, but gaps remain.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary function and followed by a critical note. Every sentence is purposeful with no filler, making it efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has only one parameter, the schema covers it fully, and there is no output schema. The description provides the core purpose and a key prerequisite, giving an agent enough context to decide to invoke it. However, the lack of output schema and vague terms like 'comprehensive' leave some uncertainty about response structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema fully documents the seasonId parameter, so the baseline is 3. The description adds value by specifying that the seasonId must be valid and obtained from getConfigTreeMini, which is not in the schema and helps the agent correctly source the parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves comprehensive fixtures and schedule for a specific season, enriched with analytics and statistical pre-match data. This specific verb+resource combination distinguishes it from siblings like get_season_team_fixtures (team-specific) and get_livescore_season_fixtures (live scores).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a critical prerequisite (valid seasonId from getConfigTreeMini) but does not explicitly state when to use this tool versus alternatives or when not to use it. The usage context is implied rather than explicitly contrasted with sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.