List active promotions and deals available in this neighborhood directory. Returns discount label, promo code (if any), CTA link, validity window, and which business/place it belongs to. FLASH offers have a countdown deadline.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | Filter by offer kind. FLASH = time-limited flash sale with countdown. Omit to return all active offers. | |
| limit | No | Max offers to return (default 20, max 60). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must carry full behavioral load. It implies a read operation but does not confirm idempotency, side effects, authentication needs, or rate limits. Only notes FLASH offers have a countdown deadline, but lacks broader behavioral disclosure.
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?
Two clear sentences. First sentence covers purpose and return fields; second adds FLASH detail. No unnecessary words, front-loaded with key action and resource.
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 no output schema, description lists return fields adequately. Mentions kind filter. However, missing pagination/ordering info and lacks behavioral transparency or usage guidance that would make it more complete for a list tool with 2 params.
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 description coverage is 100%, so baseline is 3. The description adds minimal extra meaning beyond schema: 'FLASH offers have a countdown deadline' reinforces schema enum description but does not significantly expand parameter understanding.
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 the tool lists active promotions/deals and enumerates returned fields (discount label, promo code, CTA link, validity window, business/place). Distinguishes FLASH offers with countdown deadline, differentiating from sibling list 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?
No explicit guidance on when to use this tool vs. alternatives (e.g., list_events, list_products). The description does not mention context or exclusions, relying on the tool name alone.
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 domain (e.g., booking, restaurant reservation, event RSVP, movie showtimes) with clear descriptions that prevent confusion. Overlapping verbs like 'create' are used for different resource types, and the descriptions explicitly distinguish their contexts.
All 28 tools follow a strict verb_noun pattern with underscores, e.g., create_booking, get_availability, list_events. No mixing of conventions or inconsistent verb styles.
28 tools is at the upper end of reasonable for a broad neighborhood directory server covering places, bookings, events, movies, store, forms, and more. While each tool serves a distinct purpose, the count feels slightly high for a single server.
The tool surface covers core discovery and booking initiation (search, detail, book, reserve), but lacks lifecycle operations like cancel, update, or list user's existing bookings. Several operations require external checkout or confirmation links, creating workflow gaps.