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Dev Nfl Stats

dev_nfl_stats
Read-only

NFL official passing leaders for a regular season from nfl.com's stats page, sorted by passing yards: player, yards, yards per attempt, attempts, completions, completion %, touchdowns, interceptions, passer rating, sacks. Passing only; other categories are not returned. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many passers, 1 to 25 (default 10)
seasonNoSeason year, 2020 to 2026 (default 2026)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly and openWorld, and the description adds genuinely new behavior: price per successful call ($0.002 USDC), payment rails (Base, Solana, Arc), and that failed calls are not charged. It omits freshness/caching and any rate-limit behavior, but the cost/charging disclosure is meaningful context beyond annotations.

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?

Front-loads what is returned, then the passing-only constraint, then pricing. Dense but every clause carries information; the field list is long but functional.

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

Completeness4/5

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

Output schema exists so return shape needn't be re-explained, and the cost model is disclosed. What's missing is edge behavior: invalid/out-of-range season handling and data recency for the current season.

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?

Schema description coverage is 100%, and both parameters (limit 1-25, season 2020-2026) are fully documented with defaults in the schema. The description adds no paging semantics (e.g., what happens above 25 passers), so the baseline 3 applies.

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?

Specific verb and resource: NFL official passing leaders for a regular season, sourced from nfl.com, sorted by passing yards, with an explicit field list. The caveat 'Passing only; other categories are not returned' separates it from other NFL stat tools, though no sibling is named outright.

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?

It states the data scope (regular season, passing only) but gives no explicit when-to-use guidance against adjacent tools like dev_espn_nfl_scoreboard or dev_pro_football_reference, nor what to do outside the 2020-2026 range. Usage must be inferred from the scope sentence.

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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