2026 US–China reduction list
china_deal_statusStatus of the 2026 US–China tariff reduction list (pending / notice_published / published) and, with code, whether that HTS code is on it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | No |
china_deal_statusStatus of the 2026 US–China tariff reduction list (pending / notice_published / published) and, with code, whether that HTS code is on it.
| Name | Required | Description | Default |
|---|---|---|---|
| code | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds genuinely useful behavior by enumerating the possible status values (pending / notice_published / published) and the conditional per-code check, but says nothing about what happens for a code not on the list, coverage scope, or data freshness.
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 that states the primary output first and the conditional extension second, with no filler. Nothing could be removed without losing information.
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 one-parameter status tool with no output schema, the definition covers the return values and the conditional behavior adequately. Minor gaps remain around the negative case (code not on the list) and the effective date of the list, but nothing an agent needs in order to call it correctly is missing.
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?
Schema description coverage is 0%, so the description carries the burden for the single optional 'code' parameter, and it does so: it explains the parameter is an HTS code and that supplying it also returns whether that code is on the list. That is meaningful added semantics, though it doesn't specify format/validation.
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?
Names a specific resource ('2026 US–China tariff reduction list') and states exactly what the tool returns: the list status and, conditionally, whether a given HTS code appears on it. It is clearly distinct from siblings like section301_lists and lookup_hts_code, though it never explicitly contrasts itself with them, which keeps it just short of a 5.
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?
Usage is implied rather than stated: call with no code to get the list's status, and with a code to also get a membership check. There is no explicit when-to-use/when-not guidance or pointer to the sibling tools that handle pure HTS lookups.
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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