Skip to main content
Glama

get_team_matches

Read-onlyIdempotent

Retrieve per-team match contributions across FRC matches. Filter by team, year, event, or week to build scouting timelines, compare alliance partners, or compute per-team averages.

Instructions

List per-team match contributions across many FIRST Robotics Competition (FRC) matches. Each row is one team's involvement in one match (alliance, pre-match EPA, predicted contribution, outcome). Filter by team (one team's entire match log), year, event, week (0-8), match (a single match key - returns one row per team in that match), and elim (true for elimination matches only). Sort with metric/ascending and paginate with limit/offset. Use this to build a scouting timeline ("every match team 254 played in 2024 with their EPA contribution"), compare alliance partners, or compute per-team averages over a range of 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.
matchNoMatch key, e.g. 2024flor_qm20
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 declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds context about return structure (each row is one team's involvement, includes alliance, EPA, contribution, outcome) and filtering logic. It 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?

The description is concise and well-structured: first sentence states purpose, then enumerates parameters and their effects, then provides example use cases. No redundant information.

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

Completeness4/5

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

Given the complexity (10 parameters, no output schema), the description covers all filters, sorting, pagination, and gives usage examples. Missing details like default behavior when no parameters or empty results, but overall complete.

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%, so baseline is 3. The description adds meaning beyond schema by explaining 'week' values (0-8, 8 is CMP) and that 'match' returns one row per team. This improves clarity.

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 per-team match contributions across many FRC matches, with a specific verb (list) and resource (team-match contributions). It distinguishes from siblings like get_team_match by implying bulk retrieval.

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 explicit use cases (scouting timeline, comparing alliance partners, computing averages) and explains filters. However, it does not explicitly contrast with sibling tools or state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/withinfocus/statbotics-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server