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withqwerty

football-docs

by withqwerty

resolve_entity

Read-only

Resolve football entities (players, teams, coaches) by name or ID to map identifiers across providers like Transfermarkt, FBref, Sofascore, and Opta.

Instructions

Resolve a football entity (player, team, or coach) to get cross-provider IDs. Use when you need to map between Transfermarkt, FBref, Sofascore, Opta, and other provider IDs, or when you need to look up a player/team/coach by name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoID from the source provider to resolve to all other IDs
qidNoWikidata QID for direct lookup (e.g. 'Q99760796')
nameNoEntity name to search for (e.g. 'Cole Palmer', 'Arsenal'). Fuzzy match on name and aliases.
typeNoFilter results by entity type
providerNoSource provider for ID resolution (e.g. 'transfermarkt', 'fbref', 'sofascore', 'opta', 'soccerway')
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and destructiveHint. The description adds value by mentioning fuzzy match on name and aliases, and cross-provider resolution. 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?

Two sentences, front-loaded with the core purpose, followed by usage example. Every word contributes meaning. No fluff.

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 no output schema, the description mentions the result (cross-provider IDs) and entity types. It lacks details on return format or pagination, but the complexity is moderate and annotations fill gaps.

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 good descriptions. The tool description reiterates the purpose of name and provider but does not add significant 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?

The description clearly states the verb ('resolve'), resource ('football entity'), and outcome ('cross-provider IDs'). It distinguishes from siblings by specifying the mapping use case and listing providers.

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 explicitly states when to use: 'when you need to map between...' and 'when you need to look up...'. It does not provide explicit exclusion scenarios or directly reference alternatives like compare_providers, but the context is clear enough.

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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