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get_team_years

Retrieve team-year statistics from the Statbotics API, filtering by team number, year, country, state, or district, with customizable sorting and pagination.

Instructions

Get team-year statistics with optional filtering by team, year, location, and district

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoTeam number (no prefix), e.g. 86
yearNoFour-digit year (2002 onwards)
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.
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?

No annotations are provided, so the description carries the full burden. It describes filtering but does not disclose behavioral traits such as how multiple filters interact, rate limits, or data recency. The description is adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently states the tool's purpose and available filters. It is concise and front-loaded, though could be slightly more structured with bullet points for readability.

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?

Given the tool has 9 optional parameters and no output schema, the description is minimally complete for a filtered-list tool. It covers the filtering dimensions but lacks details on output structure or defaults, which are partially covered by parameters (e.g., limit, sort).

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%, so the schema already documents all parameters. The description adds minimal extra meaning beyond listing filter options, so a baseline of 3 is appropriate.

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 clearly states it gets team-year statistics and lists optional filters, making it specific and actionable. However, it does not differentiate from siblings like get_team_year, which might return results for a specific team-year combination.

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 implies usage for retrieving filtered team-year statistics but provides no explicit guidance on when to use this vs. alternatives like get_team_year. No exclusions or context-specific recommendations are given.

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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