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maxpreps_sports

Read-only

Get MaxPreps gender and sport taxonomy. Returns the complete MaxPreps gender/sport taxonomy grouped by Boys, Co-ed and Girls: 64 gender+sport entries covering 40 distinct sports. Each entry carries its own allSeasonId, display name, public URL, canonical genderSport token, schedule model and stat model. This is the discovery surface for the genderSport enum and the allSeasonId values the other routes accept.

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": "maxpreps_sports"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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
Behavior3/5

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 useful behavioral detail — the full unfiltered taxonomy is returned, grouped by three gender buckets, with per-entry IDs, URLs and schedule/stat models — but says nothing about caching, freshness, or payload size beyond entry counts.

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?

Four sentences, front-loaded with the core purpose before the structural detail and the 'discovery surface' role. The entry counts and field list earn their place, though the sentence enumerating per-entry fields is somewhat dense and adjacent to what the output schema already conveys.

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?

For a zero-parameter read-only catalog tool with an output schema, the description is more than sufficient: it explains grouping, cardinality, the fields each entry carries, and the role this data plays for downstream sibling routes.

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?

The tool takes zero parameters, so the schema baseline is 4. The description does add meaning about the output entries (allSeasonId, genderSport token, schedule/stat model) but contributes nothing to parameter understanding, which is moot here; a neutral 3 on added parameter value.

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?

States a specific verb and resource ('Get MaxPreps gender and sport taxonomy') and quantifies the payload (64 entries, 40 sports, grouped by Boys/Co-ed/Girls). It differentiates itself generically as 'the discovery surface for the genderSport enum and the allSeasonId values the other routes accept,' though it never names the closest sibling (e.g. maxpreps_request_enums) to sharpen the boundary.

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

Usage Guidelines4/5

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

Clearly frames when to reach for it: before calling other routes, to resolve genderSport tokens and allSeasonId values. It gives no explicit when-not guidance and names no alternative tool, but the preceding-step framing is unambiguous context for an agent.

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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