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 carries the full burden. It compensates by enumerating the exact returned fields—opening hours, open_now, attributes, delivery deep-links, ratings, address, neighborhood—giving a transparent view of response behavior. It does not discuss auth or failure modes, but for a read-only getter this is largely sufficient.
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 dense sentence that front-loads the purpose and then lists the key return fields in a compact way. It contains no fluff, though the long enumeration makes it slightly heavy; still efficient.
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 no output schema, the description carries the responsibility of explaining return values. It does so thoroughly by listing the core place details and the delivery deep-link structure. The word 'including' hints at non-exhaustiveness, but for a one-parameter read tool it is complete enough for an agent to select and invoke correctly.
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 single 'slug' parameter already has 100% schema description coverage with an example. The description merely restates that the slug is a URL slug, adding no additional meaning or format details beyond what the schema already provides. Baseline 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 opens with a specific verb+resource: 'Get full details for a specific place by its URL slug'. This clearly identifies the action and target, and naturally distinguishes it from sibling tools like search_places or get_reviews.
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 a URL slug is already known, but it does not explicitly state when to use this tool versus alternatives, nor does it mention using search_places when no slug is available. The prerequisite is clear, but exclusions and alternatives are absent.
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 (e.g., create_booking vs create_checkout, reserve_event_tickets vs rsvp_event), and descriptions provide clear boundaries. Even closely related tools like list_booking_services and list_pricing_plans are differentiated by context.
All 26 tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, search_, etc.), with no mixed conventions or vague verbs. This makes the tool set predictable and easy to navigate.
At 26 tools, the set is on the heavy side and exceeds the typical well-scoped range, but the diversity reflects a multi-featured directory covering bookings, events, store, reviews, forms, and more. Each tool appears to serve a distinct purpose, so the count is borderline rather than excessive.
The surface covers the core user workflows: search, view details, book services, reserve/RSVP events, request reservations, submit forms, and browse content. Minor gaps exist (e.g., no cancellation/update for bookings, no full blog post body), but these are workarounds and not critical for a consumer-facing directory.
