carrier_league
Carrier league table — ocean carriers ranked by overall on-time reliability across all tracked lanes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Carrier league table — ocean carriers ranked by overall on-time reliability across all tracked lanes.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full weight. It discloses the tool ranks carriers by on-time reliability across all lanes, but does not describe output format, data freshness, or limitations. For a read-only tool with zero parameters, this is adequate but not deeply transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with zero waste. Every word carries meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and no output schema, the description is nearly complete. It could mention whether the data is real-time or periodic, but overall it suffices for a simple lookup tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters and schema coverage is 100%. The description adds no parameter information, but none is needed. Baseline 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool provides a league table ranking ocean carriers by overall on-time reliability across all tracked lanes. It specifies the verb (ranked) and the resource (carriers), distinguishing it from siblings like carrier_reliability which likely focuses on per-lane reliability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives such as carrier_reliability or find_best_sailings. No context on prerequisites or exclusions is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of ocean shipping: storms, carrier performance, lane schedules, port conditions, and alerts. Even overlapping areas like carrier reliability and lane comparisons are clearly differentiated by scope and purpose.
All tools use consistent snake_case naming. Most follow a verb_noun or noun_noun pattern, though some start with verbs (e.g., compare_lanes, find_sailings) and others with nouns (e.g., carrier_league, port_congestion). This is predictable but not perfectly uniform.
With 12 tools, the server is well-scoped for the domain of ocean scheduling. Each tool provides meaningful functionality without redundancy, covering storms, carriers, lanes, ports, and alerts.
The tool surface covers core information needs: storms, carrier reliability, lane schedules, port congestion, transit times, and alerts. Minor gaps exist, such as lacking detailed vessel info or carrier-specific data beyond reliability, but the overall coverage is strong for an informational service.