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get_trade_policy_impacts

Get active trade policy actions currently impacting supply chain risk — tariffs, sanctions, export controls, import restrictions, and regulatory changes. Unlike news alerts that expire after 72 hours, policy adjustments persist as long as the policy is in effect and continue to modify GDI risk scores. Each policy includes the affected GDI pillar, effective date, and source event. Used by procurement teams navigating tariff exposure, compliance officers tracking sanctions, and supply chain strategists adapting sourcing to policy shifts.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: policies persist while in effect, unlike 72-hour news alerts, and they actively modify GDI risk scores. It also previews the return contents (affected GDI pillar, effective date, source event). It does not state refresh cadence or sorting, but for a no-parameter read tool this is solid disclosure.

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 the core purpose, immediately followed by the differentiator versus news alerts, then return contents. The closing audience sentence is the least load-bearing but still adds usage framing; overall efficient with 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?

No output schema, no annotations, and no params, so the description must stand alone — and it does describe return fields and the persistence behavior an agent needs. It stops short of specifying ordering, filtering, or update frequency, leaving minor gaps.

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 there is nothing for the description to disambiguate. Baseline 4 applies.

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 (get) and resource (trade policy impacts) and enumerates the covered subcategories — tariffs, sanctions, export controls, import restrictions, regulatory changes. It distinguishes itself from 'news alerts that expire after 72 hours,' though it never names a specific sibling tool, so an agent cannot map it to a concrete alternative among the many get_* siblings.

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 audience sentence ('procurement teams navigating tariff exposure, compliance officers tracking sanctions') implies usage context, but there is no explicit when-to-use versus when-not, and no routing guidance to siblings like get_customs_trade_events or supply_chain_disruption_alerts that could plausibly overlap.

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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