Skip to main content
Glama

get_team_event_matches_keys

Read-onlyIdempotent

Retrieve only match keys for a team at a specific event. Enables efficient downstream per-match data queries.

Instructions

Lightest variant returning only match keys for a team at a specific event. Ideal for driving downstream per-match queries.

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.
Behavior3/5

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

Annotations already provide rich behavioral hints (readOnly, idempotent, openWorld). Description adds 'lightest variant' context but does not disclose additional behavioral traits beyond what annotations cover.

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, efficient sentence that immediately conveys purpose and ideal use case. No wasted words.

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?

For a simple key-returning tool with comprehensive annotations, the description adequately explains what it returns and when to use it. Lacks output format details, but not critical given the simplicity.

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 coverage is 100% with detailed parameter descriptions. The tool description adds no further parameter-specific 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?

Name and description clearly specify the action: get match keys for a team at an event. Distinguishes itself as the 'lightest variant' from siblings like get_team_event_matches and get_team_event_matches_simple.

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?

Description indicates ideal use case for downstream per-match queries, implying when to use this variant. However, it does not explicitly state when not to use it or name alternatives.

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/tba-mcp-server'

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