datasets_airbnb_item

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

With no annotations provided, the description carries full burden and does an excellent job detailing the returned fields (e.g., Superhost share, Guest Favorite share as lower bound, avg_person_capacity, currency conversion notes, and 404 for suppression). It discloses behavioral traits thoroughly.

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 core action and then enumerates return fields. While somewhat lengthy, every sentence adds value and the structure is logical. Could be slightly more concise, but overall efficient.

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?

Given no output schema, the description compensates fully by listing all expected fields (ratings, top metros, bounding box, price percentiles, etc.). It also clarifies aggregate nature and potential 404, making the tool's behavior complete for agent decision-making.

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% with a single parameter 'country' clearly described as ISO-3166-1 alpha-2. The description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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 the tool retrieves an Airbnb market for a country, specifying it's aggregate data from the 'airbnb-markets' dataset. It distinguishes itself from siblings like datasets_airbnb_search by focusing on a single country's full profile.

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?

The description notes that the tool is aggregate-only and returns 404 for suppressed countries, providing clear context. However, it lacks explicit comparison to alternatives or when-not-to-use, but still offers sufficient guidance for basic usage.

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