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sebazai

faceit-mcp

by sebazai

faceit_getChampionshipMatches

Retrieve all matches of a championship with optional filtering by type and pagination. Use to page through upcoming, ongoing, or past matches.

Instructions

Retrieve all matches of a championship

Use to page through matches of a known championship. For a flat list of finished-match results (winners only) use getChampionshipResults.

Endpoint: GET /championships/{championship_id}/matches

Parameters:

  • championship_id (path, str, required): The id of the championship

  • type (query, str | None): Kind of matches to return. Can be all(default), upcoming, ongoing or past One of: 'all', 'upcoming', 'ongoing', 'past'.

  • offset (query, int | None (min 0)): The starting item position

  • limit (query, int | None (min 1, max 100)): The number of items to return

Returns: Matches list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
championship_idYes
typeNo
offsetNo
limitNo
Behavior2/5

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

No annotations provided, so description must cover all behavioral traits. It mentions pagination and type filtering but lacks details on authentication, rate limits, or side effects (though it is a read operation).

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?

Description is brief and front-loaded with the main purpose. Could be slightly more structured but overall efficient.

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?

No output schema, yet return value is only 'Matches list' without structure. Given pagination and filtering, more detail on the response format is needed for completeness.

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 coverage is 0%, but description lists all 4 parameters with their location, type, constraints, and defaults, adding value 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?

Clearly states 'Retrieve all matches of a championship' and distinguishes from sibling getChampionshipResults, which returns only winners.

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?

Explicitly says use for paging through matches of a known championship, and contrasts with an alternative tool for finished-match results. Could add conditions for when not to use.

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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