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get_matches

Read-onlyIdempotent

Retrieve FRC match records filtered by team, event, year, week, or elimination status. Returns alliances, scores, predictions, and win probabilities.

Instructions

List FIRST Robotics Competition (FRC) matches with optional filters. Returns an array of match records (alliances, scores, predictions, EPA-based win probabilities, elim flag). Filter by team (every match a team played in), year, event (every match at one event), week (0-8), and elim (true for playoff/elimination matches only, false for qualifications only). Sort with metric/ascending and paginate with limit/offset. Use this to answer "show all of team 254's matches in 2024", "list every elim match at 2024cmptx", or "find the highest-scoring matches of week 6". For per-team match contributions (a team's individual EPA in a match), use get_team_matches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoTeam number (no prefix), e.g. 86
yearNoFour-digit year (2002 onwards)
eventNoEvent key, e.g. 2024flor
weekNoWeek of the competition season. 8 is CMP.
elimNoWhether the match is an elimination match.
metricNoHow to sort the returned values. Any column in the table is valid.
ascendingNoWhether to sort in ascending order. Default is ascending.
limitNoMaximum number of results to return (1-1000). Default is 1000.
offsetNoOffset from the first result to return.
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds valuable behavioral context such as return structure (array of match records with specific fields) and filtering behavior. Does not contradict 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?

Single paragraph that is information-dense yet concise. Front-loads purpose, then lists filters, provides examples, and ends with alternative tool. No unnecessary 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?

Despite lacking an output schema, the description explains return format (array with fields), covers all 9 optional parameters with examples, and addresses sorting and pagination. Complete enough for an agent to use correctly.

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 description coverage is 100% (all parameters described in schema). The description adds natural language explanations and usage examples (e.g., 'every match at one event' for event parameter), providing additional meaning beyond the schema.

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 the tool lists FRC matches with filters. It specifies the resource (matches) and action (list), and distinguishes from sibling tools like get_match and get_team_matches by explicitly mentioning alternatives.

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?

Provides explicit examples of when to use (e.g., 'show all of team 254's matches in 2024') and when not to use (e.g., per-team match contributions should use get_team_matches). Gives clear context and 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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