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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
NameRequiredDescriptionDefault
limitNoMax events to return (default 20, max 50).
filterNoNarrow 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_onlyNoOnly return upcoming or in-progress events (default true).

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses that events within 7 days include a weatherForecast and that the 'agora' filter is resolved live (uncached). This adds useful behavioral context beyond the schema. The description does not mention any side effects or destructive actions, which is fine as this is likely a read operation.

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?

The description is two sentences, front-loaded with the core purpose, followed by concise details on weather forecast and filter usage. Every phrase adds value without redundancy.

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

Completeness4/5

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

With no output schema, the description specifies returned fields (date, venue, price, URL, plus weatherForecast for 7-day events). Parameter usage is well explained. However, it does not mention sorting, pagination beyond limit, or error conditions, though these are not critical given the tool's simplicity.

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% with descriptions for all 3 parameters. The description adds significant value by explaining the filter values in detail, especially the live behavior of 'agora'. The limit and upcoming_only parameters are adequately covered by the schema.

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

Purpose4/5

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.' It specifies the verb (list), resource (upcoming events), and key fields. However, it does not explicitly differentiate from sibling tools like list_movies or list_offers, though the neighborhood context is implicit.

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 explicit guidance on using the `filter` parameter, including detailed explanations for each enum value, especially 'agora' which is noted as live-resolved. However, it does not directly compare with sibling tools or state when NOT to use this tool.

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

A4/5.0
Disambiguation5/5

Each tool targets a distinct domain (booking, store checkout, events, restaurant, etc.) with clear descriptions. No two tools have overlapping purposes; even similar actions like create_booking, create_checkout, and reserve_event_tickets are differentiated by their specific contexts.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with underscores (e.g., get_availability, list_blog_posts, reserve_event_tickets). There is no mixing of conventions like camelCase, and verbs are predictable (get, list, create, search, submit, etc.).

Tool Count4/5

With 28 tools, the count is slightly on the high side but justified by the broad scope covering a neighborhood directory with multiple features (places, events, movies, menus, bookings, forms, etc.). Each tool serves a clear purpose, though a few could be consolidated.

Completeness4/5

The tool surface is comprehensive for the server's purpose, covering search, details, bookings, events, movies, menus, blogs, FAQs, forms, and more. Minor gaps exist (e.g., no tool to cancel bookings or update reviews), but core workflows are well-covered.

Resources