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SergioCastro02

NBA MCP Server

list_teams

Retrieve all 30 NBA teams with their IDs and abbreviations to use in subsequent data lookups.

Instructions

List all 30 NBA teams with their ids and abbreviations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses a read-only list operation, exact cardinality ('all 30'), and the returned fields. It does not discuss auth or side effects, but none are implied for a simple list.

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?

A single sentence with no wasted words. The verb and scope are front-loaded, and every element adds useful information.

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?

With zero parameters and an output schema present, the description is fully sufficient for an agent to invoke this tool correctly. Nothing an agent needs to know is missing.

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?

There are zero parameters, and schema description coverage is 100%. The baseline for a no-parameter tool is 4; there is no parameter behavior to describe.

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?

States a specific verb ('List'), resource ('all 30 NBA teams'), and output fields ('ids and abbreviations'). Clearly distinguishes from sibling find_team, which searches for a single team.

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 implies use when enumerating all teams, but it does not explicitly mention when to use find_team instead or any exclusions. Usage context is clear but alternative routing is left to inference.

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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