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nguyenanhducs

Fantasy Premier League MCP Server

fpl_compare_players

Read-onlyIdempotent

Compare multiple Fantasy Premier League players side-by-side using stats, prices, form, and key metrics to inform transfer decisions.

Instructions

Compare multiple Fantasy Premier League players side-by-side.

Provides detailed comparison of 2-5 players including their stats, prices, form, and other key metrics. Useful for making transfer decisions.

Args: params (ComparePlayersInput): Validated input parameters containing: - player_names (list[str]): 2-5 player names to compare

Returns: str: Side-by-side comparison of players in markdown format

Examples: - Compare wingers: player_names=["Salah", "Saka", "Palmer"] - Compare strikers: player_names=["Haaland", "Isak"] - Compare for transfers: player_names=["Son", "Maddison", "Odegaard"]

Error Handling: - Returns error if fewer than 2 or more than 5 players provided - Returns error if any player name is ambiguous - Returns formatted error message if API fails

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, etc. Description adds behavioral details like '2-5 players', stats, prices, form, and error handling. No contradiction with annotations.

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?

Well-structured with sections for overview, args, returns, examples, error handling. Not overly verbose, though slightly repetitive in error description.

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

Completeness5/5

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

Given one parameter and existing output schema, description covers purpose, parameter details with examples, and error cases. Return format stated. No notable gaps.

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 has descriptions, but coverage is low per context. Description adds usage context, examples (e.g., player_names variations), and constraints (2-5 players), going beyond 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?

Description clearly states 'Compare multiple Fantasy Premier League players side-by-side' with explicit verb and resource. It distinguishes from sibling tools like fpl_compare_managers by focusing on player comparison.

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?

Mentions usefulness for transfer decisions, providing clear context. However, lacks explicit when-not-to-use or alternatives like fpl_get_player_details for single player queries.

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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