Skip to main content
Glama
sebazai

faceit-mcp

by sebazai

faceit_getHubSeasonRanking

Retrieve seasonal ranking of a hub for a given season number to analyze hub performance within a season.

Instructions

Retrieve seasonal ranking of a hub

Use for the ranking of a hub for one specific season number. Use getHubRanking for all-time.

Endpoint: GET /leaderboards/hubs/{hub_id}/seasons/{season}

Parameters:

  • hub_id (path, str, required): The id of the hub

  • season (path, int, required): A season of the hub

  • 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: Hub ranking

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hub_idYes
seasonYes
offsetNo
limitNo
Behavior4/5

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

No annotations provided. Description mentions 'Endpoint: GET ...' which implies a read-only operation. The verb 'Retrieve' reinforces this. However, it does not explicitly state permissions, rate limits, or side effects, but the endpoint method gives adequate transparency for 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.

Conciseness5/5

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

The description is concise and well-structured: purpose, usage guideline, endpoint, parameter list. Every sentence adds value; no redundancy. Efficient for an AI agent to parse.

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

Completeness3/5

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

No output schema exists. The description only says 'Returns: Hub ranking', which is vague. It lacks details on the structure of the response (e.g., list of entries, fields). For a retrieval tool, more output context would improve completeness.

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

Parameters5/5

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

Schema properties lack descriptions (coverage 0%). The description compensates fully by listing all four parameters (hub_id, season, offset, limit) with type, location, and constraints, adding meaning beyond the 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?

States 'Retrieve seasonal ranking of a hub' with specific verb and resource. Distinguishes from sibling 'getHubRanking for all-time', making the purpose clear and unique.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'for one specific season number', and when not: 'Use getHubRanking for all-time'. Provides clear usage context and an alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sebazai/faceit-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server