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dohyung1

FPL Intelligence

fixture_outlook

Rank all 20 Premier League teams by upcoming fixture difficulty to identify easy matches for transfers, captain picks, and defensive targets.

Instructions

Rank all 20 Premier League teams by upcoming fixture difficulty.

USE THIS WHEN the user asks: "Who has easy fixtures?", "Which teams to target?",
"Best defenders to buy for the next 5 weeks?", or any fixture-planning question.

Args:
    gameweeks_ahead: How many gameweeks to look ahead (1-10). Default 5.
    position: Filter players by position: GKP, DEF, MID, or FWD. Optional.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameweeks_aheadNo
positionNo
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It states the tool ranks teams by fixture difficulty, which is the core behavior, but does not disclose any additional traits such as data freshness, ranking methodology, or side effects. This is adequate but minimal.

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 extremely concise, with one sentence for the main purpose, a usage guideline section, and clear parameter descriptions. It is front-loaded with the key information and contains no unnecessary words.

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 simplicity of the tool (2 parameters, no output schema), the description covers the main functionality and usage context well. It lacks details on the ranking method or output format, but for a straightforward ranking tool, it is mostly complete.

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?

The schema has 0% parameter description coverage, so the description adds essential meaning. It explains gameweeks_ahead as a range of 1-10 with default 5, and position as a filter with values GKP, DEF, MID, or FWD. This compensates well for the lack of schema descriptions.

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 the tool's function: 'Rank all 20 Premier League teams by upcoming fixture difficulty.' This is a specific verb+resource combination that distinguishes it from sibling tools like captain_pick or chip_strategy, which focus on different aspects of FPL.

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 provides explicit usage guidance by stating 'USE THIS WHEN the user asks: ...' and listing example queries. This gives clear context for when to invoke the tool, though it does not explicitly mention when not to use it or name alternative tools.

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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