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datasets_airbnb_item

Read-only

Fetch one country's aggregate Airbnb market profile by ISO-2 country code, including supply, ratings, top metros, and per-currency price percentiles. It contains no individual listings or host identities and triggers no live scraping. Search-card badge shares are observed lower bounds; enriched fields require sufficient sample coverage. USD-normalized prices use an approximate dated FX snapshot. Use datasets_airbnb_search to compare country markets.

Input Schema

NameRequiredDescriptionDefault
countryYesISO-3166-1 alpha-2 country code of the market, e.g. FR.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only cover readOnlyHint/openWorldHint, but the description goes well beyond: no individual listings or host identities, no live scraping, badge shares are lower bounds, enriched fields need sample coverage, and prices use an approximate dated FX snapshot. These are exactly the caveats an agent needs to interpret results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action, then caveats, then sibling routing. Every sentence carries distinct information; nothing is redundant with the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation here, and the description fully covers scope, exclusions, and data-quality caveats. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single param is fully documented in the schema. The description restates 'by ISO-2 country code' with no added syntax, format, or edge-case guidance, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Fetch), resource (one country's aggregate Airbnb market profile), keyed by ISO-2 country code, and enumerates the content (supply, ratings, top metros, price percentiles). It is immediately distinguishable from the listing/host-oriented siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent: 'Use datasets_airbnb_search to compare country markets,' naming the alternative and the condition that selects it.

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

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