Retrieves the structural knockout bracket and playoff tree data for cup competitions in a specific season. [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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It highlights a critical dependency on a valid seasonId from getConfigTreeMini, which is valuable. But it does not describe the output structure, error behavior, or any other behavioral traits, leaving gaps.
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 purpose and followed by an important prerequisite note. Every word earns its place, and the [CRITICAL] emphasis draws attention to a key requirement without redundancy.
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?
Given the tool's simplicity (one parameter, no output schema, no annotations), the description covers the essential purpose and the prerequisite. It could benefit from a brief note on the returned bracket structure, but it is largely complete for a straightforward data retrieval tool.
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 already documents seasonId as a numeric ID, and the description adds a crucial semantic constraint: the ID must come specifically from getConfigTreeMini. This additional guidance goes beyond the schema's basic description, enhancing parameter understanding.
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's function with a specific verb ('Retrieves'), a specific resource ('structural knockout bracket and playoff tree data for cup competitions'), and a specific scope ('a specific season'). This effectively distinguishes it from the many sibling tools focused on match statistics or season tables.
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 clear usage context by noting the critical prerequisite that seasonId must be obtained from getConfigTreeMini. However, it does not explicitly state when not to use this tool or offer alternative tools for similar data.
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.