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get_team_events

Retrieve team-event statistics from Statbotics, filtering by team, year, event, location, type, or week. Sort results by any metric and control pagination with limit and offset.

Instructions

Get team-event statistics with optional filtering by team, year, event, location, type, and week

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoTeam number (no prefix), e.g. 86
yearNoFour-digit year (2002 onwards)
eventNoEvent key, e.g. 2024flor
countryNoCapitalized country name, e.g. USA or Canada.
stateNoCapitalized two-letter state code, e.g. NC.
districtNoDistrict abbreviation. One of: ca, fch, fim, fin, fit, fma, fnc, fsc, isr, ne, ont, pch, pnw, win.
typeNoOne of: regional, district, district_cmp, champs_div, einstein, or offseason.
weekNoWeek of the competition season. 8 is CMP.
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.
Behavior3/5

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

With no annotations, the description carries full burden. It describes what the tool does (get statistics with filtering) but does not disclose behavioral traits like whether it returns raw events or aggregated data, pagination details, or performance implications. The input schema covers parameters well.

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 a single sentence, extremely concise, and front-loaded with the core purpose. Every word earns its place, with no redundancy.

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

Completeness3/5

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

The tool has 12 parameters, no output schema, and no annotations. The description is too brief to fully contextualize usage; for example, it doesn't explain what 'team-event statistics' means or how to interpret results. Given complexity, more detail is warranted.

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%, so baseline is 3. The description adds value by summarizing that all these parameters filter the results, but does not elaborate beyond the schema. However, given the high schema coverage, it adequately supports parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get team-event statistics' which clearly indicates a verb and resource. It lists multiple optional filters, distinguishing it from siblings like get_team_event and get_teams, though not explicitly contrasting them.

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

Usage Guidelines3/5

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

The description mentions optional filtering but provides no guidance on when to use this tool versus alternatives like get_team_event or get_team. It implies usage for aggregate statistics but lacks explicit when-not or 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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