Skip to main content
Glama

SportStatsAPI

get_team_briefing

Read-only

Ready briefing for one team (any sport; for tennis a player): form, streaks (overall, home, away), home and away record, table place and gaps, last and next match, injuries (soccer); each also as a sentence (lang de, es, it, fr). Facts only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNolanguage of team, league and country names: de, es, it or fr (default English)
sportNosport (default soccer); for tennis the id is a player id
formatNomd for a short Markdown text instead of JSON
team_idYesteam id from find_teams or a match (tennis: player id)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=false, so the safety profile is covered. The description adds useful content-level context with 'Facts only' (no predictions/opinion) and notes that each block is also rendered as a sentence in de/es/it/fr. It does not explain the non-idempotency (live data) or any limitations.

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?

A single dense sentence with the payload front-loaded; every clause (fields, tennis exception, language, facts-only) carries information. The parenthetical list is long but not redundant.

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 no output schema, the description responsibly enumerates the returned sections and notes the multi-language rendering, so an agent knows what it gets back. The only real gap is the absence of when-to-use guidance against related tools.

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%, so the schema already documents lang, sport, format, and team_id. The description reinforces the tennis-is-a-player-id case and the multi-language sentence option, but adds little syntax or semantics beyond the schema. Baseline 3 applies.

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 names the resource and enumerates exactly what the briefing contains (form, streaks, records, table place, last/next match, injuries), which lets an agent distinguish it from siblings like get_team (raw team data) or get_match_briefing (single match). It never uses a clear verb like 'get/return', but the enumeration compensates.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus get_team, get_player, or get_match_briefing, and no prerequisites. Usage can only be inferred from the content list. The parenthetical 'for tennis a player' is parameter steering, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources