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 behavioral disclosure burden. It thoroughly describes the output (opening hours, open_now, attributes, delivery links, ratings, address, neighborhood), implying a safe read operation. However, it does not explicitly state that it is read-only or mention any side effects, auth requirements, or rate limits.
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 concise (75 words) and front-loaded with the core purpose. It efficiently lists the returned fields without unnecessary elaboration, making it easy for an AI agent to parse.
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 low complexity (1 parameter, no output schema, no annotations), the description is complete. It fully communicates what the tool returns and how to call it, leaving no critical gaps for an AI agent to execute 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 input schema has 100% description coverage for the single parameter 'slug', providing an example. The tool description does not add further semantic detail beyond what the schema already provides, so the parameter semantics are adequate but not enhanced.
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 verb 'get', the resource 'full details for a specific place', and how to identify it via URL slug. It explicitly lists the included fields (opening hours, open_now, attributes, delivery links, ratings, address, neighborhood), making it distinct 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 that this tool should be used when you have a specific place's URL slug and need comprehensive details. However, it does not explicitly mention when to avoid it or provide alternatives for scenarios like searching places or getting only reviews.
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 action and resource: booking appointments, restaurant reservations, event tickets, searches, etc. No two tools have overlapping purposes; even similar actions like create_booking and request_reservation are for different domains (appointments vs. restaurant tables).
All tools follow a consistent verb_noun pattern using lowercase and underscores (e.g., get_availability, list_events, create_booking). There is no mixing of styles like camelCase or inconsistent verbs.
28 tools is above the typical well-scoped range but each tool serves a clear purpose within the comprehensive neighborhood directory domain. The count feels justified, though slightly heavy.
The tool set covers most major features of a neighborhood directory: places, events, booking, restaurant menus, reviews, forms, etc. Minor gaps exist, such as no create_review or update operations, but core workflows are complete.