tab_racing_meeting_races

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

The annotations already declare readOnlyHint=true, openWorldHint=true, and idempotentHint=true, so the description doesn't need to restate those. However, it adds behavioral details beyond annotations: it explicitly shows the output structure (races array with fields), provides a concrete example, and notes authentication requirements ('works without a key; TAB_CLIENT_ID or TAB_CLIENT_SECRET unlocks more if set'). This adds context about data shape and auth levels that annotations do not cover, enhancing transparency.

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 concise and effectively structured: a one-line purpose, a returns section, an example, and an auth note. Every sentence adds value, with no filler or redundant information. It front-loads the core functionality and distributes supporting details logically. This is an exemplar of efficient description writing.

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 that there is no output schema, the description compensates by explicitly stating the return structure (races with fields). It also provides an example that ties all parameters together and clarifies the expected usage. The authentication note adds completeness. However, it lacks details on possible edge cases (e.g., invalid venue, no races on that date) or pagination, but for a simple listing tool this is acceptable. Overall, the description is sufficiently complete for an agent to invoke the tool correctly.

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?

The input schema already provides descriptions for all four parameters, covering 100% of them (date, raceType, jurisdiction, venueMnemonic). The description's example demonstrates how to use these parameters (e.g., raceType 'R' for thoroughbred, venueMnemonic 'HAW' for Hawkesbury) but does not add new meaning beyond what the schema states. Since schema coverage is high, the description meets the baseline but does not elevate it; the example is a minor bonus.

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's function: "The races for one meeting (by race type + venue code), each linking to its full racecard." It specifies the resource (races), the scope (one meeting), and the filtering criteria (race type + venue code). This distinguishes it from sibling tools like tab_racing_meetings (which likely lists meetings) and tab_racing_race (which likely retrieves a single race). The purpose is unambiguous and specific.

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 provides an example call and mentions the required parameters (date, raceType, venueMnemonic) but does not explicitly state when to use this tool versus alternatives. There is no mention of 'use this instead of tab_racing_meetings' or 'if you need individual race details, use tab_racing_race.' The usage context is implied but not explicitly contrasted with sibling tools. An example is helpful but doesn't equate to clear guidance on selection among similar tools.

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