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 adds genuinely useful behavior beyond that: the upstream host, the UTC-vs-Eastern game-day defaulting rule, and the empty-result contract ('a day with no games returns count 0 with an empty games list'). It does not discuss rate limits or failure modes of the stats host, which keeps it below 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.

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

Front-loaded with the core action and return shape, then the date/timezone rule, then the fallback, then the empty-result edge case — a sensible priority order. It is dense and slightly run-on (a single long sentence carrying multiple clauses), but nearly every clause carries distinct information.

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?

For a 3-parameter read tool with full schema coverage, annotations, and an output schema, the description covers what an agent needs: source, date semantics, offset behavior, fallback routing, and zero-game behavior. Only minor items (offset sign/direction, whether historical dates are valid) are left implicit.

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 description coverage is 100%, so the schema already documents game_date format, league_id's verified value, and day_offset. The description largely restates those same facts (MM/DD/YYYY, UTC default, Eastern game day, whole-day offset) rather than adding new semantics such as offset sign conventions or league_id behavior for unverified values. Baseline 3 is appropriate.

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 ('Get one NBA game day's scoreboard from stats.nba.com') and enumerates the returned payload (league/date metadata, game id, status, teams, scores, period lines). It also distinguishes itself from the sibling nba_games, which it positions as an independent www.nba.com fallback, so an agent can route between the two without opening either schema.

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?

Gives clear operating context: use game_date explicitly when the exact slate matters because the NBA day is US Eastern while the default is UTC, and use day_offset to shift whole days. It names nba_games as the fallback when the statistics host is down. It stops short of explicit exclusions (e.g., non-NBA leagues or other scoreboard siblings), so it is strong but not a full when/when-not matrix.

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