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

Adds substantial context beyond the annotations: the source is a public guest API, each successful call costs $0.002 USDC paid via x402 on Base/Solana/Arc, and failed calls are not charged. That payment/authorization profile is exactly the kind of information annotations cannot carry. Missing only operational details like rate limits, data freshness, or caching of prices.

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

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

Purpose, covered markets, and league-lookup mechanics are front-loaded in the first sentence; cost and payment rails follow in the second. Long but dense — no filler sentences and no repetition of the schema or annotations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description needn't explain return shape, yet it helpfully names the key fields an agent will see. Combined with the payment disclosure and read-only/open-world annotations, an agent has enough to call it correctly. A minor gap remains on whether only upcoming fixtures are returned (no date filtering exists in the schema) and any freshness guarantees.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all five parameters, including that leagueId skips the name lookup. The description restates the sport list and league-identification approach but adds no syntax, format, or precedence rules beyond the schema (e.g., what happens if both league and leagueId are supplied). Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: upcoming Pinnacle sportsbook prices from the public guest API, enumerating the market types (moneyline, handicap/spread, total, team totals) and metadata (cutoff, max stake). An agent can tell exactly what data comes back. However, it never differentiates itself from sibling odds tools like dev_the_odds_api_sports, dev_vegasinsider, or dev_fanduel, which an agent must otherwise infer from the 'sharpest market-making book' phrasing.

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

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

The closing sentence explains the two ways to identify a league (name within a sport, or Pinnacle league ID), which is practical invocation guidance. But there is no stated when-to-use vs when-not, and no pointer to alternative tools when Pinnacle coverage is missing or another book is wanted. Usage is implied rather than prescribed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.