Get full details for a specific place by its URL slug, including opening hours, a precomputed open_now boolean, amenity attributes (slugs), a delivery array of curated delivery-app deep-links (ifood, rappi, uber-eats — each { platform, url }), ratings, address, and neighborhood.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | URL slug of the place, e.g. "cafe-example". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral transparency burden. It discloses the return fields and implies a read-only operation. Missing details on error handling (e.g., non-existent slug), but overall adequate for a simple get tool.
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 front-loads the purpose ('Get full details') and lists returned fields. It is concise but slightly long due to enumerating 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 simple parameter (one slug) and no output schema, the description provides enough detail about return values to understand the tool's output. No obvious gaps for a straightforward get operation.
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 required slug parameter. The description echoes the schema's parameter description ("URL slug of the place, e.g. \"cafe-example\"") without adding new meaning. Baseline 3 per guidelines.
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 defines the tool as retrieving full details for a specific place by URL slug, listing specific fields returned (opening hours, open_now, attributes, delivery links, ratings, address, neighborhood). This distinguishes it from sibling tools like search_places and other get_* tools.
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 does not explicitly state when to use this tool vs alternatives like search_places. It implies usage for when you have a specific slug, but no exclusions or context are provided.
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 targets a distinct resource or action: appointments, products, events, places, menus, reviews, forms, etc. No two tools have overlapping purposes; even similar booking tools (create_booking, request_reservation, reserve_event_tickets, rsvp_event) are clearly differentiated by description and use case.
All tool names follow a consistent verb_noun pattern using lowercase with underscores (e.g., create_booking, list_events, search_places). Verbs are appropriate (create, get, list, search, submit, request, reserve, rsvp) and nouns clearly indicate the resource.
28 tools cover a broad domain (neighborhood directory with Wix integrations). While each tool has a clear purpose, the count exceeds the typical 3-15 range slightly, making the surface feel somewhat heavy but still manageable.
The tool surface provides comprehensive coverage for the domain: discovery (search places, list events, list guides), details (get place, get reviews), booking (appointments, restaurant, event tickets, RSVP), checkout, forms, FAQs, loyalty, pricing plans, and more. No obvious dead ends for common user journeys.
