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Team Events Next

team_events_next
Read-onlyIdempotent

Upcoming fixtures for a team: the next 5 scheduled games/matches by team_id (from search_teams); returns event name, kickoff date/time, home/away teams, league, and venue. Works for any league worldwide including lower divisions (e.g. Norwegian 1. Divisjon).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

The description adds behavioral context beyond the annotations: it specifies a fixed result count (5 games), lists the exact fields returned (event name, kickoff date/time, teams, league, venue), and confirms global coverage including lower divisions. The annotations already declare the tool as read-only, idempotent, and non-destructive, so the description complements them well without contradiction.

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?

The description is only two sentences long, with no redundant words. The first sentence front-loads the core purpose and output, and the second sentence adds valuable scope information. Every sentence serves a clear function, making it highly efficient.

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?

Given the tool's simplicity (one parameter, no enums, output schema present), the description covers the key aspects: input source, output fields, and global applicability. It does not address error handling or edge cases (e.g., unknown team_id, no upcoming events), but the presence of an output schema likely handles return structure. Overall, it is sufficiently complete for the tool's straightforward use case.

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

Parameters3/5

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

The schema has 0% description coverage for the single parameter 'team_id', so the description must compensate. It clarifies that team_id is obtained from the 'search_teams' tool and implies it is a string identifier. While this adds basic semantic context, it does not provide details on format, length, or validation rules, which would be needed for a higher score.

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's purpose: retrieving upcoming fixtures (next 5 games) for a team using a team_id. It specifies the resource (team events), the action (get upcoming fixtures), and the scope (5 scheduled games). The use of 'upcoming' differentiates it from the sibling tool 'team_events_last', which presumably returns past events.

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 implicitly guides usage by specifying that the team_id comes from 'search_teams' and that the tool works for any league worldwide, including lower divisions. It does not explicitly mention when not to use it (e.g., for past events, use 'team_events_last'), but the context strongly implies the appropriate scenario. A more explicit alternative mention would raise the score.

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

B3.3/5.0
Disambiguation2/5

The sports tools are distinct, but the majority of the set has heavy overlap: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions all serve as query/entry-point tools, with ask_pipeworx and ask_pipeworx_beta explicitly identical. The Polymarket family (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread) also blurs together.

Naming Consistency2/5

The sports subset follows a clean verb_noun pattern (get_player, list_leagues, search_teams), but the rest mixes several naming schemes: ask_pipeworx*, pipeworx_* prefixed tools, polymarket_* tools, one-word verbs (remember, recall, forget), and compound names like scan_competitor_ai_presence. No single consistent convention governs the set.

Tool Count2/5

42 tools is far too many for a server named Thesportsdb; only 10 tools relate to sports data, while 32 belong to an unrelated Pipeworx data/betting/memory platform. The set feels like two or three servers merged into one, making it heavy and unfocused for any single purpose.

Completeness2/5

For the stated sports domain, the surface is partial: you can get teams, players, league tables, and recent/next fixtures, but there are no player statistics, head-to-head records, venue details, or season history — leaving notable gaps. The Pipeworx half is broad but doesn't belong in a server with this name, so the set as a whole is incomplete for its apparent purpose.