Moema

list_events

List upcoming events in this neighborhood with date, venue, price, and URL. Events within the next 7 days include a weatherForecast (condition + min/max temperature) for the event day — use it to tell users e.g. "the event is at X and it will be raining". Pass filter to narrow by time or price; filter: "agora" answers "what can I go to right now" and is resolved live on every call, which no cached page can do.

Input Schema

TableJSON Schema

Name	Required	Description
`limit`	No	Max events to return (default 20, max 50).
`filter`	No	Narrow the list: "agora" = on stage at this exact moment (season runs and day-granular sources are excluded, because their stored window says nothing about whether a session is on right now); "hoje"/"amanha"/"fim-de-semana" = running on those days, including multi-day runs; "gratis" = free to attend, including externally-ticketed events priced at 0.
`upcoming_only`	No	Only return upcoming or in-progress events (default true).

TDQS

A4.5/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, but description discloses key behaviors: default upcoming_only true, filter enum semantics, live resolution of 'agora', and conditional weatherForecast. Lacks mention of auth, rate limits, or side effects, but these are minimal for a read-only tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three front-loaded sentences: purpose, weatherForecast detail, filter detail. No fluff; each sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, description fully explains return fields and conditional behavior. Covers filter options and date-specific weather data, sufficient for agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all 3 parameters fully (100% coverage). Description adds value by detailing filter 'agora' live resolution and weatherForecast condition, providing context beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb 'List' with specific resource 'upcoming events' and output fields (date, venue, price, URL). Distinguishes from sibling list_* tools by focusing on events with unique features like weatherForecast and filter enum values.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on filter usage, especially 'agora' for real-time events, and explains weatherForecast inclusion. Does not explicitly state when to use vs. alternatives, but context with siblings and filter descriptions makes usage clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.2/5.0

Disambiguation5/5

Each tool targets a distinct resource and action (e.g., create_booking, create_checkout, request_reservation, reserve_event_tickets, rsvp_event all differ in purpose). Even similar-sounding tools like search_places and list_categories serve complementary roles (search vs taxonomy). No ambiguity.

Naming Consistency5/5

All 28 tool names follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_blog_posts). No mixing of conventions or vague verbs.

Tool Count4/5

28 tools is above the typical 3-15 range but appropriate for the comprehensive scope of a neighborhood directory covering multiple Wix integrations (bookings, events, store, restaurants, etc.). Slightly heavy but well-scoped.

Completeness5/5

The tool surface covers the full lifecycle of a neighborhood directory: search, details, reviews, menus, booking, events, movies, offers, forms, FAQs, loyalty, etc. No obvious gaps; each domain has create/read/update/delete where applicable.

Resources

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