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football_get_match_stats

Read-onlyIdempotent

Retrieve a team's aggregate World Cup tournament statistics using its numeric API-Football team ID.

Instructions

Return a team's aggregate World Cup tournament statistics.

Network-only enrichment: requires a configured API-Football (or football-data.org) key. There is no offline static fallback, so without a key the call returns a clean ALL_SOURCES_FAILED envelope.

Args: team: API-Football numeric team id (not a country code).

Returns: data.team_stats: {team, played, wins, goals_for, goals_against}. meta.source: adapter that served the data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamYesAPI-Football numeric team id (not a country code).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior4/5

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

Beyond annotations (readOnlyHint, idempotentHint), the description adds important behavioral details: requires network, no offline fallback, returns ALL_SOURCES_FAILED without key, and explains return structure.

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 mostly concise with clear structure (overview, operational note, Args/Returns), though there is slight redundancy in parameter description.

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?

For a simple tool with one parameter and annotations present, the description is complete: it covers purpose, prerequisites, failure behavior, and return structure (including output schema details).

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 description coverage is 100% and the description repeats the parameter meaning verbatim, adding no new information 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 returns a team's aggregate World Cup tournament statistics, specifying verb, resource, and scope. It distinguishes from sibling tools like football_get_standings or football_get_fixtures.

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 network-only enrichment and the requirement of an API key, but does not explicitly compare to other tools or provide when-to-use vs 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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