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Fpl Universal MCP Server

Fpl Universal MCP Server

by universal-mcp
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

fpl_get_league_standings

Retrieve current standings for any Fantasy Premier League league by providing its league ID. Get sorted team rankings, points, and positions directly.

Instructions

Get standings for a specified FPL league

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "league_id": "<league_id>"
    },
    "name": "fpl_get_league_standings"
  }
}

Input Schema

NameRequiredDescriptionDefault
league_idYesID of the league to fetch

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It communicates that this is a read-style 'Get' operation but discloses no other behavioral traits like response scope, data freshness, pagination, or error behavior.

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 a single, front-loaded sentence with no filler or redundancy. Every word contributes to identifying the tool's purpose.

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?

The tool is simple, has one well-documented parameter, and no output schema. The description is sufficient for an agent to understand the basic call, though it leaves some context about the returned standings format implicit.

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 100% coverage with a clear description for league_id ('ID of the league to fetch'). The tool description adds no meaning beyond the schema, so it earns the baseline score of 3.

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 uses a specific verb ('Get') and resource ('standings for a specified FPL league'), clearly distinguishing this from sibling tools like fpl_get_league_analytics or fpl_team_info. It tells an agent exactly what operation will be performed.

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?

There is no guidance about when to use this tool versus alternatives such as fpl_get_league_analytics or fpl_team_info. The description only states what the tool does, leaving selection criteria entirely to inference.

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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