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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

A4.2/5.0
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 discloses that weather forecasts are included for events within 7 days and that 'agora' filter is resolved live. However, it does not mention whether the tool is read-only, rate limits, 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.

Conciseness5/5

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

The description is two sentences with no fluff. The first sentence states the core purpose, and the second adds critical detail about weather and live filtering. Every sentence earns its place.

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 3 optional parameters, no required ones, and no output schema, the description covers the return fields, special weather data, and filter usage. It is nearly complete, though it could mention ordering (e.g., by date) or potential pagination beyond the limit parameter.

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%, but the description adds context beyond the schema: it explains how weatherForecast can be used (e.g., 'it will be raining'), gives examples for filter values, and clarifies the behavior of 'upcoming_only' (default true). This goes beyond the baseline of 3.

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 it 'list upcoming events in this neighborhood' with specific fields (date, venue, price, URL) and a weather forecast for events within 7 days. It distinguishes from sibling list tools by focusing on events and providing detailed filter options.

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 explains when to use the filter parameter (e.g., 'agora' for live events) and highlights that it is resolved live. However, it does not explicitly exclude this tool for booking or other transactional tasks, which are handled by sibling tools like create_booking or reserve_event_tickets.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct action and resource: booking appointments, restaurant reservations, event tickets, searches, etc. No two tools have overlapping purposes; even similar actions like create_booking and request_reservation are for different domains (appointments vs. restaurant tables).

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using lowercase and underscores (e.g., get_availability, list_events, create_booking). There is no mixing of styles like camelCase or inconsistent verbs.

Tool Count4/5

28 tools is above the typical well-scoped range but each tool serves a clear purpose within the comprehensive neighborhood directory domain. The count feels justified, though slightly heavy.

Completeness4/5

The tool set covers most major features of a neighborhood directory: places, events, booking, restaurant menus, reviews, forms, etc. Minor gaps exist, such as no create_review or update operations, but core workflows are complete.

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