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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the shape of what comes back (outlet, document type, url) and implies a read-only lookup, but says nothing about auth requirements, rate limits, truncation, or what happens when a hotel has no quotes.

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?

Two sentences, front-loaded with what is returned before the usage trigger. The 'what RoomExpert has that a rate API does not' clause is slightly promotional but does real work by positioning the tool against siblings.

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?

With no output schema, the description correctly compensates by describing the returned quote records. Call guidance and the category defaulting rule live in the schema, so the combination is nearly complete; only edge behavior (empty results, pagination/limit effects) is unaddressed.

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%, and the schema already documents slug, limit (default 12, max 40), and the category enum with its own rationale. The description adds no parameter-level detail, so the baseline of 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 names the exact resource returned (the cited quotes behind a hotel's scores) and enumerates each field's payload (outlet, document type, url). It also explicitly distinguishes itself from a sibling class ('what a rate API does not'), so an agent can separate it from get_rates 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?

It gives an explicit trigger condition with concrete examples - 'use it whenever a traveler asks what a hotel is actually LIKE - whether it is quiet, whether the beds are good, whether service holds up.' There is no explicit when-not or named alternative sibling, but the rate-API contrast supplies a clear boundary.

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