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Glama

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

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It discloses behavioral traits such as weatherForecast for nearby events and the live resolution of the 'agora' filter. However, it does not explicitly state read-only nature or authentication requirements.

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

Conciseness4/5

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

The description is concise and front-loaded with the main purpose. It uses a single paragraph that efficiently conveys key functionality without verbosity.

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?

For a list tool with 3 parameters and no output schema, the description covers the primary use case, special features, and filter behavior. It lacks explicit mention of output format but is otherwise sufficient.

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

Parameters3/5

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

Schema coverage is 100%, so the description adds marginal value. It elaborates on the 'agora' filter behavior, but overall parameter meaning is already clear from the schema.

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 tool's function: listing upcoming events with specific fields (date, venue, price, URL) in a neighborhood. It also highlights a unique feature (weatherForecast for events within 7 days), making it distinct 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.

Usage Guidelines3/5

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

The description implies when to use the tool (for events in a neighborhood) and explains how to use the filter parameter, but it does not explicitly differentiate from sibling tools or provide guidance on when not to use it.

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

All 28 tools have clearly distinct purposes. Overlaps like create_booking vs request_reservation are well-delineated by descriptions: one for appointments with checkout URL, the other for table requests via email confirmation. Similarly, reserve_event_tickets vs rsvp_event, and get_restaurant_menus vs search_dishes are complementary.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_events, search_places). Verbs indicate action type (get/list for retrieval, create/reserve for creation), and nouns are specific entities. No mixing of conventions.

Tool Count4/5

28 tools is above the typical 3-15 range but appropriate for the broad scope of a neighborhood directory with multiple Wix integrations (Bookings, Events, Stores, Reviews, etc.). Each tool covers a distinct feature, and no tool feels redundant.

Completeness4/5

The tool surface covers the main user workflows: searching places, viewing details and menus, checking availability, making bookings/reservations, and managing event tickets. Minor gaps exist (e.g., no update/cancel for bookings, no booking status check), but these are acceptable as the server focuses on initiating actions.

Resources