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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety needs no restating. The description adds genuine context beyond them: results are scoped to the exact occupancy cohort because counts and prices depend on group size, and each call is limited to a single niche. It does not discuss result size, caching, or why the tool is closed-world, but nothing is misrepresented.

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?

Front-loaded with the when-to-use sentence and well organized under Required parameters and Returns headers, but it reproduces the entire 37-value niche enum already present in the schema, which is pure duplication and a large chunk of the text. The return-field inventory is long yet justified by the absence of an output 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?

No output schema exists, so the tool must document its return shape, and it does so thoroughly — counts, price ranges, averages, month availability, top destinations and facets — plus guidance on how to use each field. Combined with full parameter and usage coverage, an agent has everything needed to call it and interpret the response.

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?

With 0% schema description coverage the description must carry the load, and it does: all four required params are explained, the niche list is enumerated with a single-value constraint, market is identified as a code, and adult/child bounds are given. It adds meaning the schema cannot — that occupancy is semantically load-bearing for counts and prices, and that comparison requires repeated calls.

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?

States a specific verb and resource — returns destinations, months and price ranges for ONE travel type and party — and explicitly contrasts with find_trips. The 'ONE travel type' emphasis plus the single-niche-per-call rule makes the granularity unambiguous, so an agent can distinguish it from find_trips and the listing search siblings.

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?

Gives two concrete triggering conditions (exploring a travel type before filtering, or when find_trips lacks a needed filter) and tells the agent to call once per niche to compare. It does not say how this differs from get_facets or search_listings, both siblings that plausibly overlap with overview/facet data, so the routing is clear against one alternative but not all.

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