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get_shipping_cost_benchmark

Read-only

Baltic Dry Index shipping cost benchmark from FRED with trend classification (elevated, depressed, normal) and five-year average. Use when assessing global trade volume, freight inflation, or supply chain cost pressure. Source: FRED / Baltic Exchange. $0.02 atomic. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds cost ($0.02 per call), cryptographic attestation, and verification URL, which are useful behavioral details beyond the annotations. It does not describe return format in depth, but it mentions trend classification and five-year average.

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

Conciseness3/5

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

The description is mostly clear but contains redundancy: '$0.02 atomic' and '$0.02 USDC per call' repeat the same cost information, and the attestation sentence is somewhat verbose. The core purpose is front-loaded, but the extra cost and verification details could be consolidated.

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 no parameters, no output schema, and read-only annotations, the description provides all necessary context: data source, trend classification, five-year average, use cases, cost, and verification method. An agent has enough to call it correctly without missing critical details.

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 has zero parameters, and the schema coverage is 100% (vacuously). Per the rubric, 0 params gets a baseline of 4. There is nothing to add since no parameters exist.

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 returns a Baltic Dry Index shipping cost benchmark from FRED, with trend classification and five-year average. It uses a specific verb (get) and resource (shipping cost benchmark), and the specificity distinguishes it from other benchmark siblings like get_commodity_benchmark or get_agricultural_commodity_benchmark.

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?

It explicitly says 'Use when assessing global trade volume, freight inflation, or supply chain cost pressure,' giving clear usage contexts. It does not mention alternatives or when-not-to-use, but the guidance is specific enough to route an agent appropriately.

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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