sportsbet_track_report

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

Annotations already mark this as read-only, open-world, and idempotent. The description adds genuine operational context beyond that: it works without an API key and that a SPORTSBET_REFRESH_TOKEN may unlock more data. It also states the return shape, which is helpful since there is no output schema.

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?

Three short sentences cover purpose, return shape, and auth with no filler. The purpose is front-loaded, and every sentence adds new information not duplicated by the schema.

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 simple 3-parameter read-only tool, the description is complete: it names the required date lookup, lists the return fields (compensating for the missing output schema), and clarifies auth requirements. Nothing necessary for correct invocation seems missing.

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 all three parameters are already documented with types and meanings. The description does not add parameter-level detail or clarify how trackName and raceType relate to the meeting lookup, so it neither harms nor significantly improves on 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 opening phrase 'Track report (going, rail, weather) for a racing meeting on a date' names a specific resource and scopes it to a racing meeting and date. Listing the exact data fields (going, rail, weather) distinguishes it from nearby racing tools like sportsbet_racecard or sportsbet_racing_event_meeting.

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 states the scope ('for a racing meeting on a date') and what data is returned, so an agent can infer when it applies. However, it never names sibling alternatives or says when not to use it, leaving selection to inference rather than explicit guidance.

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