Vila Buarque

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?

With no annotations, the description carries the burden and does well: it reveals that events within 7 days include a weatherForecast (condition + min/max temperature) and that 'agora' is resolved live on every call. These are non-obvious behaviors not derivable from the schema, adding real context.

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?

Two sentences, front-loaded with the core purpose, and no wasted words. The weatherForecast note and filter guidance are packed into a tight second sentence.

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?

For a list tool with three fully described params and no output schema, the description covers essential behaviors: return fields, special weather data, and filter semantics. It is complete enough for an agent to select and invoke the tool 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 coverage is 100%, giving a baseline of 3. The description adds extra meaning for `filter`, explaining it can narrow by time or price and giving a concrete live-use case for 'agora'. This goes beyond the schema's individual enum 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?

The description clearly states 'List upcoming events in this neighborhood with date, venue, price, and URL.' This identifies the verb (list), resource (events), and scope (neighborhood), and distinguishes it from sibling tools like list_movies or list_blog_posts by focusing on events.

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?

The description provides concrete usage guidance for the `filter` parameter, including a specific example: 'filter: "agora" answers "what can I go to right now"'. It even notes the live response advantage over cached pages. However, it does not explicitly name alternatives or exclusions, so it's clear context without full differentiation.

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 or action: booking services, restaurant reservations, event tickets, and RSVPs are all clearly separated by domain and described with explicit use cases. Similarly, search_places, search_dishes, and get_restaurant_menus cover different granularities of place/menu lookup. The descriptions include guidance on when to use each tool, eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_*, get_*, create_*, search_*). While a few verbs like 'request' and 'rsvp' differ, they accurately reflect the action's semantics and do not break the overall consistency. The naming makes the tool's purpose predictable from its name.

Tool Count4/5

At 28 tools, this is a large set, but it serves a broad multi-domain directory (places, events, movies, store, bookings, content, etc.). Each tool covers a distinct feature or resource, and there are no redundant tools. The count is at the upper boundary but appropriate for the server's comprehensive scope.

Completeness5/5

The tool surface covers the full lifecycle for the directory's main domains: search/discover places, view details, menus, reviews, book services, reserve/RSVP events, browse movies/showtimes, list products, access content (blog, guides, FAQs), submit forms, and check loyalty. There are no obvious dead ends or missing operations for the stated purpose. The inclusion of pairing tools like list_forms→submit_form and get_availability→create_booking shows deliberate workflow completeness.

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