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get_corridor_risk

Monitor risk levels across 10 major ocean freight trade corridors (China-US West Coast, China-US East Coast, China-Mexico, Taiwan-US, India-US, China-Europe, Europe-US, Middle East-Europe, Brazil-US). Each corridor chains origin ports, chokepoints, and destination ports into a single lane scored by its weakest link (highest risk waypoint). Scores combine port congestion data with the proximity of active natural disruptions. Used by logistics planners for route risk comparison, procurement teams for supply chain exposure assessment, and freight forwarders for disruption early warning.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose meaningful methodology: weakest-link scoring, chained origin ports/chokepoints/destination ports, and score composition from congestion plus disruption proximity. It stops short of update cadence, data freshness, or the numeric scale of scores.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with what it does, then methodology, then consumers. The corridor enumeration is long but earns its place by defining scope; the audience sentence is the weakest part and is mildly padded.

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

Completeness3/5

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

No output schema and no annotations exist, so the description must cover return semantics. It conveys conceptually what is scored and how, but not the return structure, score range, or refresh frequency for a monitoring tool whose value depends on recency.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate. The corridor list does communicate what dimension the implicit query space covers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: monitoring risk levels across named ocean freight trade corridors, with the corridor list enumerating scope concretely. That scope is narrow enough to separate it from siblings like port_congestion_monitor or supply_chain_risk_assessment, though no sibling is named explicitly. Minor flaw: it claims '10 major corridors' but lists only 9.

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

Usage Guidelines3/5

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

The closing sentence names audiences and scenarios (route comparison, exposure assessment, early warning), which implies usage context. However, it offers no when-to-use-vs-alternative guidance, no exclusions, and does not say how it differs from the many other risk/congestion tools in the sibling list.

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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