Check availability for a rental property on specific dates.
| Name | Required | Description | Default |
|---|---|---|---|
| rin | Yes | Rental Identification Number | |
| check_in | No | Check-in date (YYYY-MM-DD) | |
| check_out | No | Check-out date (YYYY-MM-DD) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose behavioral traits such as whether the tool returns a boolean, list of available dates, or requires both check_in and check_out. This lack of transparency makes it harder for an AI agent to predict the tool's behavior.
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?
Single concise sentence with no unnecessary words. The structure is efficient and easy to parse.
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?
No output schema is provided, and the description does not specify the return format (e.g., boolean, list of dates, availability message). This gap makes the tool less complete for an agent to understand its behavior fully.
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 descriptions for all three parameters. The description adds only a generic reference to 'specific dates', not enhancing understanding beyond the schema. 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 verb 'check', the resource 'availability for a rental property', and the scope 'on specific dates'. It distinguishes this tool from siblings like rental_search or rental_property, making its purpose unambiguous.
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?
No guidance on when to use this tool versus alternatives (e.g., rental_search, rental_property). The description lacks context about prerequisites (e.g., having a specific rental ID) or situations where this tool is not appropriate.
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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Most tools target distinct actions, but the presence of both 'search' and 'rental_search' could cause confusion, and 'fetch' overlaps slightly with 'rental_property'. However, descriptions clarify the differences.
While most tools use a 'rental_' prefix, two tools ('fetch', 'search') lack it, and the naming style varies between verb-noun and noun-only (e.g., 'rental_availability' vs 'rental_search'). This inconsistency could confuse an agent.
With 16 tools, the set covers a comprehensive range for a Caribbean rental assistant, including search, property details, pricing, availability, licensing, market intelligence, and session management. Each tool serves a clear purpose.
The tool set covers the core lifecycle (search, view details, create sessions, add picks), but lacks session update/delete functionality. Also, 'fetch' and 'search' seem redundant with rental-focused tools. Overall, the domain is well-covered for an agent workflow.