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rishijatia

Fantasy Premier League MCP Server

by rishijatia

compare_players

Compare multiple FPL players across metrics like points, form, goals, assists, and bonus, with optional gameweek and fixture analysis to inform your selection decisions.

Instructions

Compare multiple players across various metrics

    Args:
        player_names: List of player names to compare (2-5 players recommended)
        metrics: List of metrics to compare (bootstrap names like
            total_points/goals_scored are accepted as aliases)
        include_gameweeks: Whether to include gameweek-by-gameweek comparison
        num_gameweeks: Number of recent gameweeks to include in comparison
        include_fixture_analysis: Whether to include fixture analysis including blanks and doubles

    Returns:
        Detailed comparison of players across the specified metrics
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsNo
player_namesYes
num_gameweeksNo
include_gameweeksNo
include_fixture_analysisNo
Behavior3/5

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

With no annotations provided, the description carries the burden. It discloses useful behavioral details: metric aliases are accepted, gameweek count is configurable, and fixture analysis includes blanks and doubles. However, it does not mention side effects, error handling, rate limits, or data sources, leaving gaps.

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 docstring is well-structured with Args and Returns, front-loaded with the core purpose. It is concise and every sentence adds value, though 'Detailed comparison of players across the specified metrics' is slightly redundant with the opening line.

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?

Without an output schema, the Returns is vague ('Detailed comparison') and does not specify structure. It also omits error scenarios and name-matching behavior. For a tool with five parameters, it covers input well but leaves output and edge cases unspecified.

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%, so the description must compensate. It explains all five parameters, including the meaning of metrics (with alias examples), gameweek boundaries, and boolean toggles. This adds significant meaning beyond the bare 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?

The description starts with 'Compare multiple players across various metrics', a specific verb+resource that clearly distinguishes this from sibling tools like analyze_players or get_player_information. The added detail about gameweeks and fixture analysis further differentiates it.

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

Usage Guidelines3/5

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

The context is implicitly clear: use when you need to compare multiple players across metrics. However, it does not explicitly state when to prefer this over alternatives like analyze_players or suggest_captain, nor does it mention exclusions or limitations.

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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