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Datalastic Vessel Tracking & Maritime Intelligence

Schematic sea route between two points

sea_route

Calculate a schematic sea route between two points and return it as GeoJSON (a LineString of waypoints) with the total distance in kilometres and nautical miles. Specify the origin and destination each as either coordinates (lat+lon), a port UUID, or a port UN/LOCODE. ⚠️ This is a SCHEMATIC sea route, not a navigable one. It does not account for actual navigation, hazards, traffic separation, drafts or local rules — do NOT use it for real-world sailing. Use it for estimating distance and travel time, visualizing the approximate path/shape, and similar analysis. Part of the Maritime Reports add-on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lat_toNoDestination latitude (use together with lon_to).
lon_toNoDestination longitude (use together with lat_to).
lat_fromNoOrigin latitude (use together with lon_from).
lon_fromNoOrigin longitude (use together with lat_from).
port_uuid_toNoDestination port UUID.
port_uuid_fromNoOrigin port UUID.
port_unlocode_toNoDestination port UN/LOCODE (5 alphanumeric, case-insensitive).
port_unlocode_fromNoOrigin port UN/LOCODE (5 alphanumeric, case-insensitive).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYes
fromYes
routeYes

TDQS

A4.4/5.0
Behavior4/5

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

Without annotations, the description carries full burden and warns about schematic nature, hazards, and limitations. Lacks details on authentication or rate limits, but provides honest caution.

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?

Concise multi-sentence description with front-loaded main action, clear warning, and use cases, no redundancy.

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?

Covers key aspects: purpose, inputs, limitations, use cases. Minor gap: doesn't clarify behavior when multiple input options are provided (e.g., both coordinates and port UUID). Output schema exists to detail return values.

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% with clear parameter descriptions. The description adds grouping of input methods but doesn't resolve potential conflicts (e.g., multiple input types for same endpoint). Baseline 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 the tool calculates a schematic sea route, returns GeoJSON LineString with distance, and distinguishes from sibling maritime tools by emphasizing it is not for real-world sailing.

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?

Explicitly states when to use (estimating distance/time, visualization) and when not to use (not for navigation), and describes three input methods, providing clear guidance.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: vessel tracking (get_vessel, get_vessel_pro, get_vessel_history, get_vessel_info, estimated_vessel_position), registry search (find_vessels, find_ports), port details (get_port), weather (get_weather), sea route (sea_route), async reports (report_*), and intelligence modules (intel_*). Even similar tools like find_vessels vs get_vessel are well-differentiated by their descriptions.

Naming Consistency5/5

All tool names follow a consistent lowercase underscore pattern with a verb_noun structure (e.g., get_vessel, find_ports, sea_route). The intel_* tools use a uniform prefix for intelligence operations, maintaining predictability across the set.

Tool Count3/5

With 25 tools, this server is at the upper boundary of the borderline range. While the tools are well-organized and necessary for the comprehensive maritime intelligence domain, the count feels slightly heavy compared to an ideal 3-15 tool scope.

Completeness5/5

The tool surface is remarkably complete: it covers vessel tracking (live, historic, estimated), registry search, port details, weather, sea route calculation, async report management, and a full suite of intelligence reports (casualties, inspections, ownership, etc.). There are no obvious gaps for maritime vessel tracking and intelligence tasks.