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MoayadAbbara

FPL MCP

by MoayadAbbara

get_fixtures

Check upcoming fixtures and difficulty ratings for any Premier League club. Use the schedule to plan transfers and captain choices.

Instructions

Upcoming fixtures and difficulty for a club (e.g. 'Arsenal' or 'ARS').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamYes
next_nNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It states the tool returns upcoming fixtures and difficulty but does not mention that it is a read-only operation, any authentication requirements, rate limits, or side effects. The example of team names gives minor input-format context, but no behavioral traits are disclosed.

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 a single, front-loaded sentence with no redundant words. It efficiently communicates the core purpose and includes a useful example. Every word contributes to the meaning, making it an excellent model of conciseness.

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?

An output schema exists, so the return format is covered elsewhere. Given the low complexity (2 parameters) and available output schema, the description is partially complete: it clearly states the main purpose, but it leaves the semantics of 'next_n' undocumented and does not disclose behavioral expectations such as read-only status or authentication. An agent could call the tool with the required 'team' parameter but would have to infer 'next_n' behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no descriptions for its parameters (coverage 0%), so the description must compensate. It partially does by providing example values for the 'team' parameter ('Arsenal' or 'ARS'), clarifying accepted formats. However, the optional 'next_n' parameter is never mentioned, and no meaning is added for it beyond the schema's default of 5. With two parameters, only one is addressed.

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 clearly identifies the resource (upcoming fixtures and difficulty) and the input (a club), with an example of acceptable team values. It is not tautological and presents a distinct purpose from sibling tools like get_gameweek_status or team_news. It lacks an explicit verb like 'retrieves' or 'lists', but the meaning is 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 instead of alternatives such as team_news or get_gameweek_status. There are no exclusions, conditions, or mentions of alternative tools. Usage context is only implied by the purpose statement, not explicitly stated.

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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