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nickdesi

FFBB MCP Server

by nickdesi

Dernier résultat d'équipe

ffbb_last_result
Read-onlyIdempotent

Retrieve the last game result for a specific FFBB team by providing its category (e.g., U11M) and optionally club name or ID. Ideal for checking final match outcomes.

Instructions

Dernier résultat d'une équipe précise.

Recommendation LLM : Si la categorie est imprécise ou sans numéro (ex: 'U11M'),
appeler d'abord `ffbb_resolve_team` pour obtenir le `numero_equipe` reel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categorieYesCatégorie de l'équipe (ex: 'U11', 'U11M', 'U11F')
club_nameNoNom du club (ex: 'Stade Clermontois')
organisme_idNoIdentifiant FFBB du club (organisme_id)
numero_equipeNoNuméro d'equipe dans la categorie (1 par defaut)
force_refreshNoSi True, force un rafraichissement des donnees de poule

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. Description adds context about pre-resolution steps but does not contradict annotations. Adds value by explaining parameter usage logic.

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 concise sentences, no fluff. The critical recommendation is front-loaded and clearly actionable. Every word earns its place.

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?

With output schema present and rich annotations, the description covers the key behavioral nuance (category resolution). Minor gap: does not mention what 'last result' entails (e.g., win/loss, score), but output schema likely handles that.

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 coverage is 100% with clear descriptions for all 5 parameters. Description adds extra semantic context by linking categorie imprecision to the need for ffbb_resolve_team, beyond what schema provides.

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?

Title and description clearly state 'Dernier résultat d'équipe' as the last result of a specific team. The description provides a specific recommendation for resolving imprecise categories, differentiating from siblings like ffbb_team_summary.

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

Usage Guidelines5/5

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

Explicit recommendation to call ffbb_resolve_team first if the category is imprecise or lacks a number, providing clear when-to-use vs. alternative tool guidance.

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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