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Lumify Sports Intelligence

list_seasons

Read-onlyIdempotent

Retrieve seasons for a sport or league, filtering by sport slug or to currently active seasons. Returns each season's ID, year, phase, and dates.

Instructions

List seasons per sport/league, optionally filtered by sport or to the current season only. Returns each season's id, year, phase, start/end dates, and whether it is_current. Use list_sports for just each sport's current season.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportNoFilter by sport slug, e.g. nhl, nba, soccer.
current_onlyNoReturn only currently active seasons.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalNo
seasonsNo
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to restate safety. It adds value by specifying the return fields (id, year, phase, start/end dates, is_current), which helps the agent understand the output. No contradictions with 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?

Two concise sentences with no wasted words. The most important information is front-loaded: the action and resource, then optionality, then return details, then sibling reference.

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?

With an output schema present and the description covering the return fields, the description is complete. It also addresses the alternative tool, making it self-contained for an agent's decision-making.

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 has 100% description coverage for both parameters (sport, current_only). The description adds context about optional filtering but does not provide additional meaning beyond the schema. Baseline 3 is appropriate.

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 'List seasons per sport/league' using a specific verb and resource. It also mentions optional filtering and distinguishes from the sibling tool 'list_sports' by noting that list_sports returns only the current season per sport.

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 clear context for when to use this tool (listing seasons with optional filters) and explicitly names an alternative tool (list_sports). However, it does not explicitly state when not to use this tool, but the guidance is strong.

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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