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ferasbbm

Sportmonks MCP Server

by ferasbbm

get_past_fixtures_by_tv_station_id

Retrieve past fixtures that aired on a specified TV station. Use the station ID to get historical match data.

Instructions

Get past fixtures that aired on a specific TV station.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tv_station_idYesTV Station ID.
includeNoSemicolon-separated includes. Available: sport;round;stage;group;aggregate;league;season;coaches;tvStations;venue;state;weatherReport;lineups;events;timeline;comments;trends;statistics;periods;participants;odds;premiumOdds;inplayOdds;prematchNews;postmatchNews;metadata;sidelined;predictions;referees;formations;ballCoordinates;scores;xGFixture;pressure;expectedLineups;predictedLineups;matchfacts
selectNoComma-separated fields to return on base entity.
filtersNoFilters. e.g. fixtureLeagues:501,271 or fixtureStates:1 or markets:12,14
sortByNoField to sort by. e.g. starting_at
localeNoLanguage for name fields. e.g. en, de
timezoneNoTimezone for datetime fields. e.g. Europe/London
pageNoPage number for paginated results.
per_pageNoResults per page (max 50).
Behavior2/5

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

The description does not disclose any behavioral traits such as read-only nature, pagination behavior, or required permissions. With no annotations, the agent lacks critical context about side effects or constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that conveys the core purpose efficiently. It could be expanded slightly without losing conciseness, but it is not verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 9 parameters including filtering and inclusion options, yet the description only states the basic purpose. It does not explain the output or the available parameters, leaving the agent without sufficient context for effective use.

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?

All parameters are described in the schema with clear explanations; the tool description does not add additional semantic context beyond the schema, meeting the baseline expectation.

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 it retrieves past fixtures aired on a specific TV station, using a precise verb and resource, and implicitly distinguishes from the upcoming variant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any context on when to use this tool over similar tools, such as get_fixtures_by_date or get_upcoming_fixtures_by_tv_station_id.

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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