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SiteCheck Agent Intel & Dev

Dev Espn Sports

dev_espn_sports
Read-only

ESPN latest news headlines for one league (NFL, NBA, MLB, NHL, WNBA, college football, men's college basketball) from ESPN's public site JSON: headline, description, published time and ESPN link. Newest first; ESPN's own feed, no scores. 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 headlines, 1 to 25 (default 10)
leagueNonfl, nba, mlb, nhl, wnba, college-football or mens-college-basketball (default nfl)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
leagueNo
sourceNo
articlesNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses the data source (ESPN public site JSON), ordering (newest first), scope limits (no scores), and — critically for an x402 tool — the price ($0.002 USDC per successful call), accepted payment chains (Base, Solana, Arc), and the fact that failed calls are not charged. That cost/charging disclosure is exactly the behavioral context annotations cannot convey.

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

Conciseness5/5

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

Three dense sentences, front-loaded with what the tool returns and its league scope, followed by ordering/source caveats and then pricing. Nothing is wasted and no sentence repeats structured data verbatim.

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 two optional parameters at full schema coverage, an output schema present, and read-only annotations, the description fills the remaining gaps: source, ordering, exclusion of scores, and x402 payment mechanics. An agent has everything needed to decide and invoke correctly.

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 coverage is 100% and both parameters are documented with defaults, so the schema carries the burden. The description repeats the league list already present in the schema and adds only the 'newest first' ordering semantic; the limit parameter's range and default are not mentioned in the description.

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

Purpose5/5

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

The description names a specific verb and resource (latest news headlines from ESPN), scopes it to a single league, enumerates the supported leagues, and lists the returned fields (headline, description, published time, link). It also disambiguates from the scoreboard siblings by stating 'no scores,' so an agent can tell it apart from dev_espn_nfl_scoreboard or dev_espn_standings without opening the schema.

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?

It gives clear usage context: 'latest news headlines for one league' and 'newest first; ESPN's own feed, no scores' implicitly routes score/live-data needs to the scoreboard siblings. However, no sibling tool is named explicitly, so the exclusion is inferred rather than stated.

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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