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rishijatia

Fantasy Premier League MCP Server

by rishijatia

get_manager_transfer_history

Retrieve a Fantasy Premier League manager's transfer history with player names and prices, grouped by gameweek. Provide a team ID and optional limit.

Instructions

Get a manager's transfer history with player names and prices

    Args:
        team_id: FPL team ID to look up
        limit: Maximum number of transfers to return (most recent first)

    Returns:
        Transfer history grouped by gameweek
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
team_idYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does provide useful context: transfers are returned most recent first and grouped by gameweek. However, it does not mention authentication requirements, error behavior, or whether the tool is read-only (though implied). It adds some behavioral detail but not comprehensive coverage.

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, front-loading the main purpose in the first sentence. The Args/Returns format is clear and contains no redundant information. Every sentence earns its place.

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?

The tool has moderate complexity with two parameters and no output schema, so the description must explain the return format. It states 'Transfer history grouped by gameweek' but does not describe the structure of the returned data (e.g., fields per transfer, gameweek grouping details). It also omits edge cases like empty history or invalid team_id. While adequate for a basic list tool, it leaves gaps for an agent to interpret results correctly.

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 description coverage is 0%, so the description must explain the parameters. It does so clearly: team_id is defined as 'FPL team ID to look up' and limit as 'Maximum number of transfers to return (most recent first)'. This adds meaning beyond the raw schema, which only provides types and a default.

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 the specific verb 'get' with a clear resource ('a manager's transfer history'), and specifies that it includes player names and prices. This distinguishes it from sibling tools like get_team or get_manager_info, which serve different purposes. The addition of 'grouped by gameweek' further clarifies the output.

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 description implies the use case (when you need transfer history) but does not explicitly state when to use this tool versus alternatives, nor does it mention when not to use it. There is no reference to sibling tools or exclusions. The purpose is clear enough for an agent to infer usage, but explicit guidance is missing.

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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