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nguyenanhducs

Fantasy Premier League MCP Server

fpl_analyze_transfer

Read-onlyIdempotent

Analyze potential FPL transfers by comparing two players on form, fixtures, price, and value, with optional budget check, and receive a data-driven recommendation.

Instructions

Analyze a potential transfer decision between two players.

Compares the player being transferred out vs the player being transferred in. Analyzes form, upcoming fixtures (next 5), price difference, and overall value. Provides a direct recommendation based on the data.

Args: params (AnalyzeTransferInput): Validated input parameters containing: - player_out (str): Name of player to remove - player_in (str): Name of player to add - my_team_id (int | None): Optional team ID to check budget impact

Returns: str: Detailed transfer analysis and recommendation

Examples: - Analyze move: player_out="Salah", player_in="Palmer" - Check budget: player_out="Saka", player_in="Foden", my_team_id=123456

Error Handling: - Returns error if either player not found - Returns error if players play different positions (unless specified) - 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 indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds value by detailing error handling (player not found, different positions, API failure) and the output format (detailed analysis and recommendation). This goes beyond the annotations.

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 well-structured with clear sections for purpose, args, returns, examples, and error handling. It is concise with no unnecessary words, front-loaded with the main action.

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?

Given the annotations and the presence of an output schema (string), the description provides sufficient detail including examples and error handling. It covers all necessary aspects for an agent to use the tool correctly.

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 input schema already includes descriptions for each parameter (player_out, player_in, my_team_id, response_format), so the schema coverage is high. The description adds examples and explains the optional my_team_id and response_format, but does not add significant new meaning beyond the 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 clearly states it analyzes a potential transfer decision between two players, comparing form, upcoming fixtures, price difference, and value, and provides a direct recommendation. This distinguishes it from sibling tools like fpl_compare_players which likely just compare stats without the transfer context.

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?

The description indicates to use when considering a transfer between two players, with examples like player_out='Salah', player_in='Palmer'. It does not explicitly mention when not to use or alternatives, but the context is clear. Sibling tools like fpl_compare_players could be an alternative for simple stat comparison, but not mentioned.

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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