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us-tariff-ledger

by com.trimtabist

US tariff rulebook + receipts, per HS code

tariff_lookup
Read-only

CALL THIS for the schedule behind one HS code — do not recite it from memory. Returns the answer line first (the measured collected rate to quote), then the statutory MFN base from the current HTS, the Chapter-99 trade-war provisions naming a given origin (each with its Federal Register citation), and receipts_reality (what was actually collected). Trimtab DOES hold the tariff schedule and the rulebook — this is it. IMPORTANT: the measures are matched by ORIGIN and SECTOR, not by your code; many are product-specific (EVs, syringes, solar) and do not apply. Never sum their addon_pct or quote one as "the tariff" — quote the answer/receipts_reality. For "what does X from Y pay" prefer tariff_story. Not customs advice. Example: tariff on 9401.61 from China. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hsYesHS code, 2 to 10 digits (dots optional), e.g. 9401.61 or 847130
originNoOrigin country name (e.g. China, Vietnam) — adds in-force measures and receipts reality (optional)

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses critical behavioral traits: measures are matched by origin/sector not by code, many are product-specific and do not apply, and users are instructed to quote the 'answer'/receipts_reality rather than add up addon_pct. This adds substantial context for safe usage.

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

Conciseness5/5

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

The description is dense yet every sentence serves a purpose: it front-loads the imperative 'CALL THIS', explains return structure, warns about sector matching, gives an example, and notes no API key required. It is well-organized for an agent to parse quickly.

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 output schema, the description carries the full burden of explaining return values. It enumerates the answer line, statutory MFN base, Chapter-99 provisions with Federal Register citations, and receipts_reality. It also includes caveats about product-specific measures and non-applicability, making it complete for practical use.

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 schema already covers hs and origin well (100% coverage), but the description enriches meaning by stating that origin adds in-force measures and receipts reality, and by contextualizing how hs is used (the schedule behind one HS code). It does not fully explain hs format expectations beyond the schema, so a 4 is appropriate.

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 uses a specific verb ('CALL THIS') and resource ('US tariff rulebook + receipts, per HS code'), and immediately distinguishes the tool from siblings by noting 'For "what does X from Y pay" prefer tariff_story.' This makes the purpose unmistakable.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool ('for the schedule behind one HS code'), when not to ('do not recite it from memory'), and names an alternative (tariff_story). It also warns against misusing sector-specific measures, providing clear usage boundaries.

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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TDQS

A4.1/5.0
Disambiguation3/5

Tariff-related tools (tariff_story, tariff_burden, tariff_lookup, trade_query) overlap in scope, with tariff_story explicitly replacing three others, which creates confusion. However, each has a distinct granularity and the detailed descriptions help an agent choose correctly most of the time.

Naming Consistency3/5

All tools use lowercase snake_case, but the structure is inconsistent: some are noun phrases (commodity_profile, origin_profile), some verb-first (compare, query_series), and some noun-verb combinations (hs_search, rulings_search). This mix, while readable, lacks a unifying pattern.

Tool Count5/5

13 tools is appropriate for a comprehensive trade/tariff data server; each covers a distinct aspect without bloating the surface.

Completeness5/5

The tool set covers HS code search, tariff lookup, actual duty paid, trade volumes, country and commodity profiles, comparisons, event studies, monthly summaries, CBP rulings, and raw series queries—leaving no major gaps for the stated domain.

Resources