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?
Without annotations, the description carries the full burden. It transparently lists returned data (opening hours, open_now, attributes, delivery links, ratings, etc.) and implies a read-only operation. It does not disclose side effects, authentication needs, or error behavior, but the listed output is comprehensive and honest.
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, well-structured sentence that front-loads the core action and input. It lists key output details without redundancy. While it could be slightly more concise, it efficiently conveys needed information.
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's simplicity (one required parameter, no output schema, no annotations), the description covers essential aspects: what the tool does, what input it expects, and what output it provides. It is complete enough for an agent to select and invoke the tool correctly, though it omits error handling or edge cases.
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 covers the only parameter with a clear description. The tool description reinforces the parameter's meaning and context (e.g., 'by its URL slug') and adds value by explaining how the parameter maps to the output. Since schema coverage is 100%, the description provides solid context beyond the 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 clearly states the action (Get), the resource (full details for a specific place), and the input (URL slug). It enumerates returned fields, making the purpose unambiguous. It implicitly distinguishes from sibling tools like 'search_places' by focusing on a single place.
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 explains that the tool requires a URL slug but provides no explicit guidance on when to use this tool versus alternatives (e.g., search_places for finding places). It does not mention prerequisites, limitations, or preferred scenarios, leaving the agent to infer usage from context.
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 clear, distinct purpose. Tools like create_booking and request_reservation target different services (appointments vs. restaurant tables), and reserve_event_tickets vs. rsvp_event differentiate paid holds from free RSVPs. No overlapping functionality that would confuse an agent.
All tool names follow a consistent verb_noun pattern (e.g., create_booking, list_events, search_dishes) using lowercase with underscores. No mixing of conventions or irregular verbs.
28 tools cover a broad domain of neighborhood directory services (bookings, events, movies, restaurant menus, forms, etc.). While the count is slightly high, each tool serves a specific function and is justified by the domain scope.
The tool set provides comprehensive coverage for a neighborhood directory: search, booking, reservations, event management, menus, reviews, forms, loyalty, and more. No obvious gaps; all core user needs are addressed.
