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get_team_event_matches

Read-onlyIdempotent

Retrieve all matches a specific team played at a given event in a single API call. Returns complete match data including alliances, scores, breakdowns, videos, and timing.

Instructions

Fetch every match a team played at a single specific event in one call. Returns full match records (alliances, scores, score breakdowns, videos, timing). Combines team and event filters server-side, avoiding client-side filtering of get_team_matches or get_event_matches. Lighter variants: get_team_event_matches_simple, get_team_event_matches_keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_keyYesFRC team key formatted as 'frc' followed by the team number with no leading zeros (e.g., 'frc86', 'frc254', 'frc1114'). Uniquely identifies a FIRST Robotics Competition team on The Blue Alliance.
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 readOnly and idempotent. Description adds details about return content (fields like alliances, scores, videos) beyond schema, but does not disclose any edge cases or limitations.

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, front-loaded with purpose, no wasted words.

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 two required params and no output schema, description fully covers purpose, usage guidance, and return contents, referencing lighter variants for reference.

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?

Schema coverage is 100%, and description adds contextual examples and format for event_key, though it doesn't add new parameter semantics beyond what schema provides.

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?

Description clearly specifies verb 'Fetch every match a team played at a single specific event' and distinguishes from siblings by naming lighter variants.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: combines filters server-side vs client-side filtering of get_team_matches or get_event_matches, and lists lighter alternatives.

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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