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lacausecrypto

Sports Hub MCP Server

footballdata: Uk get matches

footballdata_uk_get_matches
Read-onlyIdempotent

Retrieve historical football matches with results and bookmaker odds for a league and season, filtering by team and capping results.

Instructions

Get historical matches (results + bookmaker odds) for a league and season from football-data.co.uk. Returns the most recent matches first; filter by team and cap with limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoFilter to matches involving this team (case-insensitive substring)
limitNoMax matches to return (default 30, most recent first)
leagueYesLeague code, e.g. "E0" (Premier League). Use footballdata_uk_list_leagues.
seasonYesSeason code, 4 digits, e.g. "2425" for 2024-25
Behavior5/5

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

The annotations (readOnlyHint, openWorldHint, idempotentHint) already indicate safety. The description adds valuable behavioral details: returns most recent matches first, supports case-insensitive team substring filter, and a limit cap. No contradictions.

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 exceptionally concise with two sentences that cover purpose, ordering, filtering, and source. Every part adds value with no redundancy.

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 no output schema, the description hints at output ('results + bookmaker odds') but doesn't detail fields. However, the tool's simplicity and strong annotations make it sufficient for an agent to understand 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?

Schema covers 100% of parameters with descriptions. The description reinforces their roles (e.g., league, season as required; team filter; limit cap) and adds ordering context, improving understanding beyond the raw schema.

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 retrieves historical matches with results and odds, specifies the source (football-data.co.uk), and includes ordering and filtering options. It distinguishes from sibling tools like footballdata_uk_list_leagues by its specific function.

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 indicates that league and season are required and that filtering by team and limiting results are optional. It implicitly references footballdata_uk_list_leagues in the schema for league code, providing context for use, though it doesn't explicitly state when to use this over other tools.

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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