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List basketball conferences

list_conferences
Read-onlyIdempotent

List all conferences with team counts.

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": "list_conferences"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is fully covered by structured data. The description contributes one piece of extra behavioral information — that results include team counts — but says nothing about ordering, pagination, or whether the list is complete, which with an output schema present is a modest gap.

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 front-loaded sentence with no filler and no redundant restatement of the annotations. It is on the terse side, and folding the basketball-sport context into that sentence rather than leaving it to the title would cost no extra length.

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?

With a 0-parameter schema and an output schema that already documents return values, the description covers the minimum an agent needs to invoke the tool. What is missing is the sport qualifier and any signal about the unfiltered/full-set nature relative to the football sibling, which matters for a multi-sport catalog this size.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter semantics to add beyond the schema. The description correctly avoids inventing filter options and implicitly confirms the call takes no arguments.

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?

A specific verb and resource: "List all conferences with team counts" tells an agent exactly what is returned and that the full set is unfiltered ("all"). It does not, however, distinguish itself from the sibling list_football_conferences — only the separate title field says these are basketball conferences, so an agent reading the description alone cannot tell the two lists apart.

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 when-to-use statement, no mention of when not to call it, and no pointer to alternatives such as list_football_conferences or get_conference_stats for per-conference detail. The word "all" weakly implies a bulk lookup, but that is inference rather than 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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