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nba_team_info_common

Read-only

Get Returns one team's identity and season summary: city, name, abbreviation, code, conference and division, the win/loss record and per-game team averages, plus the team's available seasons. Use it when you need a team's identity, record and available season list before calling nba-team-roster, nba-team-game-logs or nba-team-stats; team_id is required and comes from nba-standings. Returns one team's identity and season summary: city, name, abbreviation, code, conference and division, the win/loss record and per-game team averages, plus the team's available seasons. Use it when you need a team's identity, record and available season list before calling nba-team-roster, nba-team-game-logs or nba-team-stats; team_id is required and comes from nba-standings.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "nba_team_info_common"
  }
}

Input Schema

NameRequiredDescriptionDefault
seasonNoOptional season in YYYY-YY form; defaults to the current NBA season.
team_idNoRequired team id from nba-standings.
league_idNoOptional league id; only 00 (NBA) is verified.
season_typeNoOptional season type.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuine behavioral context beyond that: the required upstream dependency on nba-standings and the downstream calls this output feeds, which is what makes the tool callable in the right order. It does not mention pagination or season-resolution behavior, keeping it short of a 5.

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

Conciseness2/5

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

The entire description is duplicated word-for-word, roughly doubling its length with zero informational gain. The front-loaded content is otherwise well ordered (what it returns, then when to use it, then prerequisites), but the repetition is a clear structural defect.

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?

For a read-only lookup with a full output schema and complete parameter documentation, the description covers purpose, prerequisites, and follow-on tools adequately. However, it claims 'team_id is required' while the schema lists no required fields and types team_id as nullable, leaving an ambiguity an agent must resolve on its own.

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 all four parameters (season, team_id, league_id, season_type) are already documented, including 'Required team id from nba-standings'. The description repeats the team_id provenance but adds no new semantics such as season format edge cases or how season_type affects the returned averages. 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 a concrete resource (one team's identity and season summary) and enumerates its contents: city, name, abbreviation, code, conference, division, record, per-game averages, and available seasons. The awkward 'Get Returns' opening and verbatim duplication of the whole text blunt the clarity slightly, but an agent can still distinguish this from stat-splits siblings like nba_team_dash_by_clutch.

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?

It gives an explicit when-to-use condition ('when you need a team's identity, record and available season list before calling nba-team-roster, nba-team-game-logs or nba-team-stats') and states the prerequisite that team_id comes from nba-standings. This is exactly the routing and sequencing guidance an agent needs.

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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