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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

A4/5.0
Behavior4/5

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

With no annotations, the description fully carries behavioral disclosure. It details that events within 7 days include a weatherForecast, and that the 'agora' filter is resolved live without caching. No destructive actions are implied.

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 with two sentences. The first sentence front-loads the core purpose, while the second provides additional detail. It could be slightly restructured for clarity, but remains efficient.

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 adequately specifies return fields and conditional weather data. It omits error handling or authentication info, but for a read-only listing tool this is acceptable.

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%, yet the description adds value by explaining the 'agora' filter's semantic nuance (excludes season runs) and default/max limits. This goes beyond the schema definitions.

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 the tool lists upcoming events with specific fields (date, venue, price, URL) and mentions special behavior for events within 7 days. It does not explicitly differentiate from sibling tools like list_movies or list_blog_posts, but the resource is distinct.

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 clear usage context, including when to use the 'filter' parameter (e.g., 'agora' for live events) and how to leverage the weather forecast. However, it does not explicitly state when not to use this tool versus alternatives.

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 operation: bookings, restaurants, events, forms, etc. Even similar actions like create_booking and request_reservation are clearly differentiated by domain and description.

Naming Consistency5/5

Tools follow a consistent verb_noun pattern (e.g., create_booking, get_availability, list_blog_posts). Collection retrieval uses list_ while single item uses get_, which is a standard and clear convention.

Tool Count4/5

28 tools is on the upper end, but each serves a distinct function for a comprehensive neighborhood directory (places, events, booking, forms, etc.). No obvious bloat given the scope.

Completeness5/5

The tool surface covers all major user intents for a local directory: searching places, getting menus, booking services, viewing events, submitting forms, etc. No critical gaps are apparent.

Resources