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

With no annotations, the description carries the full behavioral burden. It does usefully disclose the default window (90 forward dates ≈ 3 months, one row per date) and the per-item fields, but says nothing about latency, rate limits, authentication, caching, or how unavailable dates are represented beyond the 'available' field name.

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 one-line purpose, then an output-shape sentence, then a compact Args list. Efficient overall, with only minor redundancy (the 90-date default is stated in both the prose and the Args entry).

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 10-parameter, annotation-free tool, the description covers every argument and the default output window. Since an output schema exists it need not enumerate return values, making the item-field sentence mild redundancy rather than a gap.

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 0%, so the description must compensate, and it does: hotel_url format, ISO date format for start_date, number_of_dates default and meaning, nights semantics (1 = per-night rate), ISO 4217 currency, and what gl/hl control. All ten parameters get meaningful clarification rather than restatement.

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 a daily rate calendar for one Google Hotels property. The singular 'one property' and the daily-calendar framing distinguish it from the sibling search tools, though it never names them explicitly.

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 is only implied: the hotel_url argument being a Google /travel/hotels/entity/<token> URL hints that the property must first be found via search_hotels, and the pricing semantics (nights=1 per-night rate) suggest the pricing use case. No explicit when-to-use, when-not-to-use, or named alternative appears.

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

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: the return payload shape, and critically that include_provider_prices triggers one extra billed Apify provider-prices call per hotel, defaulting to false for cost predictability. It omits auth requirements, rate limits, and pagination behavior, which keeps it short of a 5.

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 purpose and return contents, then a clearly delimited Args block. The Args list is long but each entry earns its place because the underlying schema has no descriptions. Slight redundancy between the prose about provider prices and the include_provider_prices entry is the only waste.

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 13-parameter, no-annotation tool with an output schema, the description covers purpose, inputs, filtering semantics, return shape, and the cost trade-off of the expensive optional flag. The main remaining gap is guidance on choosing this tool versus its two siblings.

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 0%, so the description must compensate fully, and it does: all 13 parameters are documented with concrete formats (ISO 'YYYY-MM-DD' dates, ISO 4217 currency codes, Google hl/gl language and country codes) and the semantics of the two filter params (min_rating 0-5, min_hotel_class 2-5) plus the cost implication of include_provider_prices.

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 opens with a specific verb and resource ('Search Google Hotels for a destination between two dates'), which immediately distinguishes it from search_vacation_rentals and hotel_price_calendar by domain. It does not explicitly name or contrast the siblings, so the differentiation is implicit rather than stated.

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 is implied by the request shape (destination + date range) and there is a conditional note about when to set include_provider_prices. However, nothing tells the agent when to prefer this tool over hotel_price_calendar or search_vacation_rentals, and no exclusions are given.

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

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

With no annotations provided, the description carries the full burden and does so well: it discloses the return structure (array with title, prices, rating, amenities, hero photo, entity URL) and, critically, the billing behavior of include_provider_prices (one extra provider-prices call per rental, billed per-rental, default false for cost predictability). It does not mention rate limits or pagination, but cost and output behavior are unusually well surfaced.

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 tool purpose and return shape are front-loaded before the Args block, which is the right order for an agent. The args list is complete but verges on verbose for parameters like adults/children that need no explanation, though nothing is egregiously padded.

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 10-parameter search tool with no annotations, the definition covers purpose, output fields, all parameter formats, and the cost/behavioral tradeoff of the one non-obvious flag. An output schema exists, yet the description's summary of return fields is complementary rather than redundant, and nothing needed to call it correctly appears missing.

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 0%, so the description must compensate, and it documents every one of the 10 parameters. It adds format and meaning beyond the bare schema: ISO YYYY-MM-DD for dates, ISO 4217 for currency, example query text, and the semantics of hl/gl as interface language and country code, plus the cost consequence of include_provider_prices.

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 opens with a specific verb+resource ("Search Google Vacation Rentals") and names the underlying sources (Airbnb / Vrbo / Booking.com), so the agent knows exactly what is being searched. It does not explicitly differentiate itself from the sibling search_hotels, though the rental-vs-hotel distinction is implicit in the resource name.

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?

There is no explicit statement of when to choose this over search_hotels or hotel_price_calendar, so routing between siblings is left to inference from the resource name. It does give a clear conditional for one parameter ("When include_provider_prices is true..."), which is useful but limited to a single option rather than overall tool selection.

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