Gracie Barra Jiu-Jitsu

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

A4/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions that events within 7 days include a weatherForecast and that the 'agora' filter is resolved live, which adds behavioral context. However, it does not state whether the tool is read-only, auth requirements, or any side effects.

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 concise at two sentences, front-loading the main purpose ('List upcoming events...'), then adding key behavioral details. Every sentence contributes 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?

Given no output schema, the description covers output fields (date, venue, price, URL) and special case (weatherForecast for next 7 days). It explains filter values but does not mention pagination or default limit. Overall, it provides sufficient context for a list tool.

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 description coverage is 100%, so baseline is 3. The description adds meaning for the `filter` parameter beyond the enum list, explaining 'agora' as 'on stage at this exact moment' and contrasting with cached pages. The other parameters (limit, upcoming_only) are not elaborated, but the added context for one param elevates the score.

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 the verb ('List') and resource ('upcoming events in this neighborhood'), and specifies the returned fields (date, venue, price, URL). This differentiates 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 Guidelines3/5

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

The description provides guidance on using the filter parameter (e.g., 'filter: "agora"' answers 'what can I go to right now'), but does not explicitly compare this tool to alternatives or state when not to use it. The context is implied but not made explicit.

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 resource and action. Even similar operations like create_booking, request_reservation, reserve_event_tickets, and rsvp_event are clearly differentiated by their descriptions and the entities they handle (bookable services, restaurant tables, paid events, free events). No two tools appear to do the same thing.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., create_booking, get_availability, list_events, search_places). This uniform convention makes the tool set predictable and easy for an agent to understand and select from.

Tool Count3/5

With 28 tools, the set is relatively large, exceeding the typical well-scoped range of 3-15. While each tool serves a specific purpose within the neighborhood directory domain, the count feels heavy and may overwhelm simple use cases. A reduction or grouping could improve coherence.

Completeness4/5

The tool set covers a broad range of user-facing operations for a neighborhood directory: searching places, browsing menus, booking services, reserving tables and event tickets, listing products and events, retrieving reviews and FAQs, and submitting forms. Minor gaps exist (e.g., no cancellation or create_review tool), but the core workflows are well-supported.

Resources

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