Server has 15 tools with basic definitions present. Most tools follow verb_noun naming conventions (search_*, get_*), which is correct. However, the implementation exhibits significant gaps in definition quality: (1) Parameter descriptions are minimal and sometimes missing details about format/constraints. For example, 'season_id' in get_club_players is described as 'Optional season identifier for filtering' but lacks examples of valid formats. (2) Output schemas are NOT documented anywhere in the provided source code, there is no JSON schema definition, response structure documentation, or field description for what these tools return. The client.py makes raw API calls and returns whatever the Transfermarkt API sends, but the MCP tool definitions do not specify what fields LLMs should expect. (3) Error handling is present in the client (timeout, connection errors, HTTP errors) but messages are generic ('Request timed out', 'Failed to connect') without actionable recovery guidance. (4) Several tools appear redundant: get_player_by_id and get_player_profile both take player_id and likely return similar data, this violates single-responsibility and confuses the LLM. (5) No pagination documentation in search tools despite page_number parameter. (6) Descriptions are terse, most are 40-80 characters, which meets the floor but lacks the 'WHEN to use this vs similar tool' guidance that LLMs need for proper selection.
Get players list for a specific club, optionally filtered by season.
Get detailed profile information for a specific club.
Get all clubs participating in a specific competition.
Get detailed information about a specific competition.
Get achievements and trophies for a player.
Get detailed information about a specific player.
Get injury history for a player.
Output schemas are completely undocumented. No tool specifies what fields the LLM should expect in responses. The client returns raw API responses without schema validation or documentation.
Redundant tools: get_player_by_id and get_player_profile both accept player_id and appear to return similar data. This violates single-responsibility and forces LLMs to choose between functionally equivalent tools, wasting reasoning cycles.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 41 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 44 | - | v1 |
Get jersey numbers history for a player.
Get market value information for a specific player.
Get detailed profile information for a player.
Get player statistics with optional season filter.
Get transfer history of a player.
Search for clubs by name with pagination support.
Search for competitions by name with pagination support.
Search for players by name with pagination support.
Error handling is generic and non-actionable. Errors like 'Request timed out' or 'Failed to connect' do not tell the LLM what to do next. No distinction between retryable and fatal errors.
Parameter descriptions lack format constraints and examples. For instance, 'season_id' in get_club_players is vaguely described as 'Optional season identifier for filtering' with no indication of expected format (e.g., '2023/2024', '2023-2024', 'season_id=123').
Search tools (search_clubs, search_competitions, search_players) do not document pagination behavior or result limits. The description should clarify: How many results are returned by default? Is there a maximum? What does page_number=1 vs page_number=2 return?
No tool annotations (readOnlyHint, destructiveHint, idempotentHint) are present. All tools are read-only, which should be declared in the tool metadata so LLMs know these operations are safe to retry and have no side effects.
Descriptions are terse and do not include 'WHEN to use this vs similar tools' guidance. For example, get_club_profile vs search_clubs both can lead to club data, but the distinction is not explained. LLMs need explicit guidance to avoid wasteful tool selection.