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get_event_district_points

Read-onlyIdempotent

Retrieve per-team district championship qualifying points and tiebreaker statistics for district-affiliated events.

Instructions

Retrieve district championship qualifying points awarded at an event for each participating team. Returns per-team breakdown of qualification points, alliance selection points, elimination points, and award points (the official FIRST district point system) plus tiebreaker stats (highest qual scores, qual wins). Only meaningful for district-affiliated events; non-district events return null.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_keyYesTBA event key combining the season year and event code (e.g., '2023casj' for the 2023 Silicon Valley Regional, '2024txhou' for the 2024 Houston Championship, '2024micmp4' for a Michigan State Championship division). Use get_events or get_events_keys to discover valid event keys for a year.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds that returns per-team breakdown, tiebreaker stats, and null for non-district events, providing useful behavioral context beyond annotations. No contradiction.

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 sentences, no fluff, front-loaded with the primary purpose and key details. Extremely concise.

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?

Description fully explains what is returned (per-team point breakdown, tiebreaker stats) and handles edge case (null for non-district). With one parameter and no output schema, it is complete.

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% for event_key parameter. Description does not add extra parameter semantics beyond what the schema provides, so 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?

Clearly states the tool retrieves district championship qualifying points per team, with specific breakdown of point types. Distinguishes from siblings by noting it's for district-affiliated events.

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?

Explicitly says 'Only meaningful for district-affiliated events; non-district events return null,' giving clear context on when to use and not use. Lacks explicit naming of alternative tools but still provides strong guidance.

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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