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

Beyond the read-only and idempotent annotations, the description adds important behavioral context: Open Paddock is a neutral calendar, sells nothing, takes no bookings, and users must be directed to the organiser's site. It also discloses source-specific handling for MotorsportReg rows and required attribution, which an agent could not infer from 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 front-loaded with the retrieval purpose and id source, followed by necessary operational and attribution requirements. Every sentence carries useful information, and there is no redundant restatement of the tool name or 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 one-parameter lookup with rich safety annotations, the description provides enough context to call the tool correctly, including id sourcing, bookingUrl handling, openPaddockUrl linking, and attribution rules. It does not describe error behavior or not-found cases, but it covers the main completeness needs for this 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?

The input schema has 100% description coverage and already explains that id is an event id or openpaddock.app/events URL. The description adds that the id can come from find_track_days, but it does not add meaningful syntax or format details beyond what the schema provides, so the baseline 3 applies.

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 that this retrieves one listed track day by id, and it names the id sources (find_track_days or an openpaddock.app/events link). It does not explicitly contrast the tool against get_circuit, list_circuits, or list_organisers, but the resource and access pattern are clear.

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?

It gives clear usage context: call this with an id obtained from find_track_days or an event URL. It also explains the downstream booking flow and attribution requirements, though it does not state explicit exclusions or alternatives beyond the id source.

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