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Check a Schengen 90/180-day visa itinerary

check_schengen
Read-onlyIdempotent

Validate a set of trips against the Schengen Area rule: a non-EU visitor may be present at most 90 days within any rolling 180-day window. Entry and exit days both count as days of presence; overlapping trips are de-duplicated. Returns days used in the current window, days remaining, an overall compliance flag, and the exact first overstay date (if any).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tripsYesList of Schengen stays.
plannedEntryNoOptional planned entry date. When set, the response adds plan: { maxStay, latestExit, fullResetDate } — the longest compliant stay starting on that date.
referenceDateNoOptional 'as of' date (ISO YYYY-MM-DD). Defaults to today (UTC).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
daysUsedNo
compliantNo
windowStartNo
daysRemainingNo
referenceDateNo
maxDaysInWindowNo
firstOverstayDateNo

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already convey readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond annotations: entry and exit days both count, overlapping trips are de-duplicated, and the exact output items (days used, days remaining, compliance flag, first overstay date) are spelled out. No contradiction with 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?

Three sentences with zero filler: purpose and rule in the first, counting nuances in the second, return-value summary in the third. The most decision-relevant information (what rule is checked) is front-loaded, and every sentence earns its place.

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?

With full schema parameter coverage, an output schema, and annotations covering safety/idempotency, the description only needed to explain edge-case behavior and result meaning — which it does. An agent knows what inputs to provide, what computation will be performed, and what the response will contain. Nothing material is missing.

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 description coverage is 100%, so each parameter (trips, plannedEntry, referenceDate) is already documented inline with formats and semantics; the description adds no parameter-level information beyond the rule mechanics that map to the trips field. Baseline 3 is correct here because the schema carries the heavy lifting.

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?

Description opens with a specific verb-resource pair ('Validate a set of trips against the Schengen Area rule') and concretely defines the rule (90 days in any rolling 180-day window). This cleanly separates it from siblings like check_residency, check_travel_residency, and find_nomad_visas, which deal with different constructs (residency status, visa discovery), so an agent can select it without opening sibling schemas.

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 domain context is explicit: this is the tool for compliance-checking trip itineraries against the Schengen 90/180-day rule. It does not name alternatives or state when-not-to-use conditions, but the rule specificity makes the intended selection obvious among the residency/tax/visa siblings. Lacks the explicit exclusion language that would earn a 5.

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

A3.9/5.0
Disambiguation3/5

Several tools occupy adjacent territory: check_travel_residency explicitly supersedes check_residency, check_schengen, and check_tax_residency_risk, and the cost-of-living family (arrival_cost, compare_total_cost, compare_housing, estimate_micro_costs, calculate_ppp, localize_salary) has overlapping price-level concepts. The detailed descriptions mostly clarify boundaries, but an agent selecting by name alone could easily pick the wrong residency or cost tool.

Naming Consistency4/5

Most tools follow a clean verb_noun snake_case pattern with recognizable prefixes (compare_*, check_*, find_*, calculate_*), which makes the set predictable. Deviations like arrival_cost, passport_power, required_rate, and the acronym-heavy calculate_ppp keep it from being perfectly uniform.

Tool Count3/5

26 tools is a heavy surface, and at least three of the check_* tools are explicitly superseded by check_travel_residency, adding redundant weight. The broad geo-arbitrage/nomad domain justifies much of the breadth, but the set feels closer to a full toolkit than a focused server.

Completeness4/5

The toolset covers the core remote-work and geo-arbitrage decision space: cost of living, purchasing power, tax residency risk, nomad visas, housing, healthcare, climate, connectivity, holidays, salary localization, FIRE, livability, and even team timezone planning. Gaps are minor—no family-size cost tool, no immigration/citizenship pathway data, and no dedicated safety/crime dataset beyond the livability composite—but agents can work around them.

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