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list_events

Read-onlyIdempotent

List detected travel-disruption events for EU-27 tourism.

Use this tool to browse or filter current disruption events across
countries; for a question about one specific trip, use assess_trip.
Events are deterministic, rule-based detections over published live
snapshots and monthly indicators — thresholds are disclosed in each
event record; nothing is model-generated here. Filters: status (e.g.
"active"/"resolved"), country (EU-27 ISO2, Greece = "EL"), domain
(e.g. "weather", "aviation"), min_severity on the ordered scale
info < watch < warning < severe. Returns {count, events, filters};
on missing index returns {"error": "unavailable"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNo
statusNo
countryNo
min_severityNo

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive. The description adds meaningful behavioral context: events are deterministic rule-based detections, thresholds are disclosed in each record, nothing is model-generated, and missing index yields a specific error format. This goes well beyond the annotations.

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?

Four dense sentences with zero filler. The first sentence states purpose, the second provides usage guidance, the third explains data provenance, and the fourth covers filters and return format. Every sentence adds value and is well-organized.

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

Completeness5/5

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

Despite no output schema, the description specifies the return shape ({count, events, filters}) and the error case. It covers all parameters, the underlying data source, and filters. For a list tool with this complexity, the description is complete and leaves no significant gaps.

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

Parameters5/5

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

Schema has 0% description coverage and no enums, so the description carries the full burden. It clearly explains each filter: status with examples, country as EU-27 ISO2 (Greece = 'EL'), domain with examples, and min_severity with an explicitly ordered scale (info < watch < warning < severe). This is exactly the missing parameter semantics.

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 opens with a specific verb+resource+scope: 'List detected travel-disruption events for EU-27 tourism.' It clearly distinguishes from siblings by positioning this as the browse/filter tool and explicitly directing trip-specific questions to assess_trip.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Explicit usage guidance: use for browsing/filtering across countries, and 'for a question about one specific trip, use assess_trip.' This directly tells the agent when to prefer an alternative, satisfying the when-to-use and when-not-to-use criteria.

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

A4.6/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose, with explicit cross-references to differentiate overlapping tools (e.g., get_trip_updates_since vs whats_changed, assess_trip vs watch_trip). There is no ambiguity in when to use each tool.

Naming Consistency2/5

Naming is inconsistent: some tools use verb_noun (assess_trip, list_events, watch_trip), some use noun_noun (country_briefing, country_tourism_profile), and one uses a question phrase (whats_changed). This mixed convention reduces predictability.

Tool Count5/5

8 tools is well-scoped for a travel-trends server, covering trip assessment, monitoring, update retrieval, event browsing, daily briefing, and tourism statistics. Each tool earns its place without unnecessary bloat.

Completeness4/5

The core workflows (assess, watch, get updates, explain silence, list events) are well covered. The only notable gap is the absence of trip lifecycle management, such as an unwatch_trip or list_trips tool, which is a minor omission.

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