carrier_league
Carrier league table: ocean carriers ranked by overall on-time reliability across all tracked lanes. With Navo Tokens this costs 10 tokens per call; an empty answer is free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Carrier league table: ocean carriers ranked by overall on-time reliability across all tracked lanes. With Navo Tokens this costs 10 tokens per call; an empty answer is free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It usefully discloses token pricing and that an empty answer is free, but it does not explain authentication requirements, data freshness, ranking methodology, or the response shape.
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?
Two sentences, front-loaded with the tool's purpose and followed by a relevant cost note. Every sentence earns its place and there is no wasted text.
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?
For a zero-parameter lookup with no output schema, the description sufficiently explains what the tool returns. Minor gaps remain around data currency and result format, but the core information needed to invoke it correctly is present.
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 takes zero parameters, so there is no parameter semantics gap. The baseline score of 4 applies because there are no inputs requiring explanation.
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 resource and metric: a league table of ocean carriers ranked by overall on-time reliability across all tracked lanes. It is specific about what is returned, but it does not explicitly distinguish this aggregate ranking from the sibling tool carrier_reliability, which likely provides carrier-level detail.
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 carrier_reliability, compare_lanes, or find_best_sailings. It implies a high-level ranking use case but provides no explicit conditions, prerequisites, or 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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