Best neighborhoods to stay in a city. Compares areas by price, rating, and popular hotels.
| Name | Required | Description | Default |
|---|---|---|---|
| city | No | City name (e.g., 'Tokyo', 'Barcelona', 'New York') | |
| budget | No | budget, mid, or luxury (default: mid) | |
| country | No | Country (default: us) | |
| check_in | No | Check-in YYYY-MM-DD | |
| currency | No | Currency (default: USD) | |
| check_out | No | Check-out YYYY-MM-DD |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It explains what the tool compares but does not disclose any behavioral traits such as output format, default sort order, or prerequisites like check-in/check-out dates. It only restates the high-level purpose without deeper insight.
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 concise sentences immediately convey the tool's value and comparison dimensions. No unnecessary words or repetition, making it highly efficient and scannable.
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 6 parameters, no annotations, and no output schema, the description is too minimal. It fails to explain how parameters like check_in/check_out are used, whether the output is a ranked list, or any required inputs. This leaves the agent without enough context to invoke the tool correctly for complex queries.
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%, so baseline is 3. The description adds context that 'price, rating, and popular hotels' are the comparison criteria, which helps interpret budget and hotel-related parameters, but it does not add meaningful detail beyond what the schema already provides.
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 identifies best neighborhoods in a city and compares areas by price, rating, and popular hotels. This distinguishes it from sibling tools focused on specific hotels or prices.
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 intended use is implied: when a user needs neighborhood-level recommendations in a city. However, it does not explicitly mention when to use this tool instead of hotel_search or price_compare, nor does it provide exclusions or alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct aspect of hotel research: neighborhoods, cheapest options, server health, hotel details, price trends, general search, nearby attractions, and cross-site price comparison. There is no functional overlap between tools.
Tools follow a consistent snake_case convention with descriptive names. Most are noun_noun or adjective_noun patterns (area_guide, hotel_details), with only price_compare using a verb form. The pattern is clear and predictable, though not perfectly uniform.
Eight tools cover the full spectrum of hotel information retrieval without being excessive or sparse. Each tool serves a specific, necessary function for travelers researching accommodations.
The tool set provides end-to-end coverage for hotel research: searching, filtering by price, comparing across booking sites, viewing price calendars, checking nearby places, and getting detailed reviews. There are no obvious gaps for the intended information-only use case.