Get the loyalty/rewards program details for this site (Wix Loyalty). Returns program name, points currency name, and tier structure with required points per tier.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description clearly indicates this is a read-only operation with no side effects, which is appropriate for the tool. Since no annotations are provided, the description carries the full burden for behavioral transparency. It does not mention any authorization requirements or rate limits, but for a simple data retrieval tool, this is adequate.
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 a single sentence that is concise and front-loaded with the core action. Every part adds value: the verb, resource, site specificity, and list of returned fields. No wasted words.
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 the tool has no parameters, no output schema, and no annotations, the description does a good job of explaining the purpose and return data. However, it could be slightly more complete by noting that the data is site-global and not user-specific, but overall it meets the needs.
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?
The input schema has zero parameters, so the baseline is 4. The description does not need to explain parameters, and it adds value by describing the return structure, which helps the agent understand the output without needing an output schema.
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 uses a specific verb 'Get' and names the resource 'loyalty/rewards program details' for this site. It further refines the purpose by listing specific returned fields (program name, points currency, tier structure), making the tool's function very clear and distinct from siblings.
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 implies usage when wanting to retrieve loyalty program details. It does not explicitly state when not to use it or suggest alternatives, but given the niche nature of the tool, the context is clear. Siblings like 'get_site_info' could overlap, but the description's specificity compensates.
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 has a clearly distinct purpose, even among similar actions like booking, reservation, and ticket purchase—their descriptions clarify the domain and flow. No two tools could reasonably be confused.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_blog_posts). There are no deviations or mixed conventions.
At 28 tools, the surface is larger than ideal for a single server, but each tool covers a distinct feature of the neighborhood directory (bookings, events, store, etc.). It borders on heavy but is still manageable for an agent.
The tool set covers the full lifecycle of browsing and acting on a neighborhood directory: search, details, reviews, menus, events, booking, reservations, store, loyalty, and more. No obvious gaps exist for the intended use case.