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universal-mcp

Fpl Universal MCP Server

fpl_compare_players

Compare multiple FPL players on key metrics like points, form, goals, and assists, with recent gameweek and fixture analysis to inform your selections.

Instructions

Compare multiple players across various metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsNoList of metrics to compare
player_namesYesList of player names to compare (2-5 players recommended)
num_gameweeksNoNumber of recent gameweeks to include in comparison
include_gameweeksNoWhether to include gameweek-by-gameweek comparison
include_fixture_analysisNoWhether to include fixture analysis including blanks and doubles

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description carries the full behavioral burden. It says the tool compares players and metrics but does not disclose output format, whether it is read-only, data source, or how gameweeks/fixtures affect results. Not misleading, but under-specified.

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?

One front-loaded sentence with no filler or repetition. It is concise, though it sacrifices some useful specificity in favor of brevity.

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

Completeness2/5

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

For a 5-parameter tool with no output schema and no annotations, a one-sentence description is insufficient. It omits expected return shape, usage context, and how it differs from sibling analysis tools, leaving important decision-making context to the agent.

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?

Schema description coverage is 100%, so all parameters already have meaningful descriptions and defaults. The tool description only echoes 'metrics' and 'multiple players' and adds no new parameter-level meaning beyond the schema.

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?

States a specific action ('Compare') and resource ('multiple players') across a defined scope ('various metrics'). It is clear and distinguishable from search/get tools, though it does not explicitly differentiate itself from the sibling fpl_analyze_players.

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?

Provides no guidance about when to prefer this tool over alternatives such as fpl_analyze_players or fpl_get_player_information. The only implied use is 'when you want to compare players,' with no exclusions or routing information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.