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

The description adds substantial behavioral context beyond the read-only/open-world annotations: pricing at $0.002 USDC per successful call via x402, no charge for failed calls, UTC timing, empty-list behavior on no-game days, and the ESPN public JSON source.

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?

The description is compact and front-loaded: it first states what data is returned, then covers edge cases and payment behavior. Every sentence contributes useful context without filler.

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?

Given the output schema, the description need not explain the full return shape. It sufficiently covers source, date scope, timezone, empty-result behavior, and payment model for a one-parameter read-only tool.

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?

There is only one parameter and schema coverage is 100%, with the schema already documenting YYYY-MM-DD format and the default of yesterday UTC. The description adds only the notion of 'one date' and UTC timing, not additional parameter semantics beyond the schema.

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?

The description clearly identifies the resource and scope: ESPN WNBA scoreboard data for a single date, including teams, score, status, and arena. It distinguishes itself from generic ESPN sports tools by naming WNBA and scoreboard, though it does not explicitly contrast with the nearby dev_wnba_stats sibling.

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?

Usage is implied by the scoreboard-for-one-date framing, but there is no explicit guidance on when to choose this over dev_wnba_stats or other ESPN scoreboard siblings. No exclusions or alternative-selection rules are provided.

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