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 provided, so description carries full burden. It does not disclose safety profile (read-only vs destructive), rate limits, or auth needs. Only describes output fields.
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 sentence, front-loaded with purpose, no extraneous info. Every part is informative.
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?
Lists many output fields, sufficient for a simple get-by-identifier tool. Missing error handling or status codes, but acceptable given no output schema.
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 high (100%) and description adds concrete example ("cafe-example") and clarifies it's a URL slug, adding value beyond 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?
Description clearly states it gets full details for a specific place by URL slug, listing fields like opening hours, open_now, attributes, delivery, ratings, address, neighborhood. This is specific and distinguishes from siblings like search_places.
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?
Implies usage for fetching details of a known place, but no explicit guidance on when to use vs alternatives (e.g., search_places). Missing when-not-to-use or prerequisites.
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.
Every tool has a clearly distinct purpose, with detailed descriptions that prevent ambiguity. Overlaps like create_booking vs request_reservation are clarified by domain (appointments vs restaurant) and mechanics.
All tool names follow a consistent verb_noun pattern (e.g., create_booking, list_events, search_places). The same conjugation style (snake_case) is used throughout, with no mixing of conventions.
At 28 tools, the set is slightly larger than the typical well-scoped range (3-15), but each tool corresponds to a distinct feature of the neighborhood directory, making the count reasonable for the breadth of functionality.
The tool surface covers all major user-facing actions: searching, browsing, booking, purchasing, and retrieving information. No obvious gaps exist for the stated purpose of a neighborhood directory.
