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rishijatia

Fantasy Premier League MCP Server

by rishijatia

analyze_players

Filter and analyze Fantasy Premier League players by position, team, price, points, ownership, and form to get summary statistics and recent gameweek data.

Instructions

Filter and analyze FPL players based on multiple criteria

    Args:
        position: Player position (e.g., "midfielders", "defenders")
        team: Team name filter
        min_price: Minimum player price in millions
        max_price: Maximum player price in millions
        min_points: Minimum total points
        min_ownership: Minimum ownership percentage
        max_ownership: Maximum ownership percentage
        form_threshold: Minimum form rating
        include_gameweeks: Whether to include gameweek-by-gameweek data
        num_gameweeks: Number of recent gameweeks to include
        sort_by: Metric to sort results by (default: points; bootstrap
            names like total_points/goals_scored are accepted as aliases)
        sort_order: Sort direction ("asc" or "desc")
        limit: Maximum number of players to return

    Returns:
        Filtered player data with summary statistics
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNo
limitNo
sort_byNopoints
positionNo
max_priceNo
min_priceNo
min_pointsNo
sort_orderNodesc
max_ownershipNo
min_ownershipNo
num_gameweeksNo
form_thresholdNo
include_gameweeksNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It states that it returns 'Filtered player data with summary statistics' but does not mention whether the operation is read-only, requires authentication, or has side effects. It lacks information about data source, rate limits, or any special behavior beyond the basic function.

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 description is well-structured: a purpose line, an Args list, and a Returns line. It is longer due to 13 parameters, but every line provides necessary information without fluff. It is appropriately sized for the tool's complexity.

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?

Given the tool's complexity (13 params, no output schema, no annotations), the description covers parameter semantics thoroughly but provides only a vague return statement ('Filtered player data with summary statistics'). It doesn't specify return fields, pagination, or data source, leaving some gaps for an agent trying to understand the full output.

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?

The schema has 0% description coverage, but the description's Args section fully explains all 13 parameters, including meaning, defaults, and aliases (e.g., sort_by accepts bootstrap names). This comprehensively compensates for the schema gap and adds significant semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Filter and analyze FPL players based on multiple criteria', which is a specific verb+resource and clearly states the tool's purpose. It doesn't explicitly differentiate from siblings like search_fpl_players or get_player_information, but the emphasis on multi-criteria filtering and analysis makes the purpose unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives like search_fpl_players or analyze_player_fixtures. It does not mention any exclusions, prerequisites, or contextual use cases beyond the action itself.

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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