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B2b Pgatour Leaderboard

b2b_pgatour_leaderboard
Read-only

PGA Tour current and upcoming events from ESPN's public scoreboard: tournament name, dates, status, and the player leaderboard when a tournament is running (empty list before the first round). Public ESPN data, not an official PGA Tour feed. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
countNo
eventsNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered; the description still adds meaningful context the annotations cannot: the data is unofficial ESPN data, the leaderboard may legitimately be empty, and each successful call costs $0.002 while failures are free. It does not discuss data freshness/caching or pagination, which keeps it from 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.

Conciseness4/5

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

Purpose and scope are front-loaded in the first clause, with caveats (unofficial source, empty list) and then pricing in a separate, well-placed sentence. Every sentence carries information; the pricing detail is long but operationally necessary for a paid endpoint.

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, an output schema present, and annotations covering read-only/open-world behavior, the remaining gaps an agent would face are provenance, cost, and edge-case returns — all three are stated. Nothing needed to invoke or interpret the call correctly 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?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly does not invent parameter talk and instead spends its words on scope and cost.

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 specific resource and enumerates the returned fields: tournament name, dates, status, and player leaderboard. It also pins the source (ESPN's public scoreboard) and scope (current and upcoming events). It stops short of explicitly contrasting itself with the leaderboard siblings (b2b_hyperliquid_leaderboard, b2b_openllm_leaderboard), though the domain makes confusion unlikely.

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?

Usage context is clear: call it to get current/upcoming PGA Tour events and the live player leaderboard. The 'empty list before the first round' caveat tells the agent what a pre-tournament result looks like, preventing misinterpretation. No explicit when-not or alternative tools are named, but none are plausibly needed for this domain.

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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