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jedi-knights

jk-mcp-wsl

by jedi-knights

get_strength_of_schedule

Read-onlyIdempotent

Assess schedule difficulty by computing the average points-per-game of opponents a team has faced, with a per-opponent breakdown for comparison.

Instructions

Get a team's strength of schedule based on opponents already faced.

Returns the average current points-per-game of every opponent the team has played in completed matches, plus a per-opponent breakdown. Useful early in the season for "who has played the tougher schedule so far?" questions.

Args: team_id: ESPN numeric team ID (e.g. "18418" for Atlanta United FC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds behavioral context by specifying it computes average points-per-game of opponents in completed matches and returns a per-opponent breakdown, going beyond what annotations provide.

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 front-loaded with the core purpose, followed by return details and a use case. It avoids fluff and includes only valuable information, with the Args section providing a clear parameter explanation.

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

Completeness5/5

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

For a single-parameter, read-only tool with a full output schema and rich annotations, the description is complete. It covers purpose, scope, parameter format, and suggests when to use it, leaving no significant gaps.

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 coverage is 0%, but the description fully compensates by explaining team_id as an 'ESPN numeric team ID' with a concrete example ('18418' for Atlanta United FC). This gives the agent all necessary context to supply the parameter correctly.

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 a specific verb and resource: 'Get a team's strength of schedule based on opponents already faced.' It further defines the output as average points-per-game plus a per-opponent breakdown, distinguishing it from sibling tools like get_standings or get_team_schedule.

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 gives explicit usage context: 'Useful early in the season for "who has played the tougher schedule so far?" questions.' It does not mention exclusions or alternatives explicitly, but the context is clear enough for selection.

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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