Retrieve today's NBA basketball game scores, schedules, and results. Returns team names, final scores, game time, teams' win-loss records, and key player statistics. Use for sports betting research, fantasy basketball, or staying updated on daily NBA action.
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true and openWorldHint=true, and the description's 'Retrieve' aligns with these. It adds the 'today's' time scoping constraint, which is useful behavioral context, but does not disclose other traits like data freshness limits or timezone handling. No contradiction with annotations.
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 three sentences with a clear structure: purpose, return contents, and use cases. Every sentence earns its place, and there is no redundant fluff. It is front-loaded with the primary action.
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 tool has no parameters and no output schema, the description adequately covers the return values (team names, scores, game time, win-loss records, player stats). This is sufficient for a simple read-only retrieval tool with good annotations.
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 are zero parameters, so the schema fully covers this aspect. The description does not need to explain parameters; it adds value by detailing the return fields, which is more relevant for the agent's output expectations.
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 states the tool retrieves 'today's NBA basketball game scores, schedules, and results' with the verb 'Retrieve' and a specific resource. It also lists the return content (team names, final scores, etc.), making it distinct from sibling NFL/NHL tools.
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 description gives clear use cases ('sports betting research, fantasy basketball, or staying updated on daily NBA action'), providing context for when to use it. However, it does not explicitly contrast with sibling tools like get_nfl_scores or get_all_scores, so it lacks direct exclusions or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tools are mostly distinct in purpose, with get_all_scores providing a combined summary and the league-specific tools offering more detailed statistics and player data. However, there is some overlap since get_all_scores also returns scores from each league, which could cause an agent to hesitate when choosing between the combined and specific tools.
All tool names follow a consistent get_<scope>_scores pattern, with get_all_scores being the only deviation from the league-specific naming but still clear and predictable. This makes it easy to understand the function of each tool at a glance.
The server has 4 tools, which is well within the ideal 3-15 range. Each tool serves a clear purpose: one for each major league and a combined all-scores option. This is a compact, focused set with no unnecessary bloat.
The tools cover the core need for retrieving scores from NBA, NFL, and NHL, including schedules, standings, and player stats. A minor gap is the lack of date or team-specific queries, and the absence of MLB coverage, but for daily score monitoring the surface is reasonably complete.