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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered; the description adds the substance: hotels bucketed by distance, live all-in prices for the event's own dates, a 'rooms found' flag, refundability, a deep link, editorial advice and booking-timing guidance. With no output schema, this enumeration of return contents is the main carrier of behavioral information. It stops short of saying how many hotels come back per bucket or how fresh the live prices are.

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?

Despite being one dense paragraph, it is front-loaded with the core promise ('Where to stay ... in one call') before the supported-events list and the booking handoff. The example questions and the repeated event dates are the only slightly costly elements, but each supports discoverability or disambiguation.

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 three-optional-parameter read tool with no output schema, the description covers the essentials: what is returned, which events are supported, defaults implied by 'the next one still ahead', and the path to booking. The remaining gap is scale — nothing on result counts, pagination or price staleness — but that is minor at this complexity.

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 coverage is 100% and both enums are documented, so the baseline is 3; the description earns the extra point by mapping the opaque event IDs to real dates and a venue, which the schema's bare enum values do not convey. It also explains the booking handoff via hotel_id and an offer from get_live_rates, tying the parameter to a downstream flow.

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 names a specific verb+resource: hotels for a named event, grouped by distance to the venue, with live prices. It goes further and enumerates the exact supported event IDs and venue (Abu Dhabi Grand Prix at Yas Marina Circuit, 3-7 Dec 2026 / 9-13 Dec 2027), so an agent can tell this apart from the general-purpose search_stays sibling without opening a 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?

Usage context is clear and concrete: it supplies example questions ('best hotels for the Abu Dhabi Grand Prix', 'is the F1 weekend sold out') and bounds the scope to currently supported events, which tells the agent when it will and will not work. What is missing is an explicit negative route — it never says to use search_stays for non-event stays, so the boundary against the sibling is inferred rather than stated.

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