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Channels, creators and live-data calls for a country

channel_plan
Read-onlyIdempotent

GTM engineering plan for one country: creator platforms to seed on, marketplaces to research, buyer channels, local-language and disclosure rules, product compliance pointers (with an official source link), the official tariff lookup and Korea FTA, and the treg.to endpoint ids (with per-call prices and example request bodies) to run creator discovery, vetting, marketplace research, social listening, ad-library and buyer-contact steps. Estimated data cost included.

Input Schema

NameRequiredDescriptionDefault
itemNoProduct as an HS4 code (e.g. '3304') or a name in English or Korean (e.g. 'sunscreen', '라면'). Names cover TradeGraph's 35 items; any other product works as a 4-digit HS code (e.g. '1905' biscuits, '2005' kimchi, '3305' shampoo) with live UN Comtrade imports. Optional; adds niche keywords and compliance pointers.
motionNoWhich part of the plan to return. 'all' adapts to the item: industrial goods get b2b, trade and search only.
traitsNoOptional: product traits, comma-separated, that change the rules within one HS code: sunscreen, whitening (also arbutin, kojic acid), vitamin_a (retinol), gel_nail (UV/LED gel, semi-cured strips), contact_lens (HS 9001: contact lenses, colour lenses), hair_dye, hair_loss, acne, antiperspirant, dandruff, fluoride (toothpaste), human_derived (human stem cell culture media, human placenta, cord blood: a ban in the EU, UK, China and ASEAN), stem_cell (stem cell culture media whose source is not named: check it), exosome, radio (Bluetooth, Wi-Fi, cellular), battery, meat, dairy, egg, aerosol, flammable. Also detected from item, product and description; the answer lists them in product_traits.
countryYesTarget country as ISO 3166-1 alpha-2 (e.g. 'US', 'JP') or an English/Korean name.
descriptionNoOptional: the product as the user describes it, any language (e.g. '비건 선크림 SPF50', 'Bluetooth speaker with a rechargeable battery', 'ramen with beef broth'). Used only to detect product traits that change the rules within one HS code (see traits).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description doesn't need to. It does add useful context: the output carries an estimated data cost, per-call prices for treg.to endpoints, and an official source link for compliance — but it says nothing about whether calling this tool itself consumes quota, how large the response is, or what happens for unsupported countries.

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?

It is front-loaded with the deliverable type, which is good, but the rest is one long run-on sentence packing seven or eight content categories plus a cost note. The inventory could be trimmed or restructured without losing information an agent needs to select the tool.

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?

For a five-parameter, one-required read-only tool with a fully documented schema and no output schema, the description is complete enough about what comes back. The residual gap is selection context — when this beats gtm_plan or country_brief — rather than invocation context.

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

Parameters3/5

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

Schema description coverage is 100% and the parameter descriptions are unusually rich (enum values, trait vocabulary, HS4 examples), so the schema does the heavy lifting. The tool description adds no parameter-level meaning beyond what is already documented — it doesn't explain how motion interacts with traits or what 'all' returns for consumer goods.

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 deliverable ('GTM engineering plan for one country') and enumerates its contents precisely enough that an agent knows what it gets back. It does not, however, distinguish it from the sibling gtm_plan or country_brief, which appear to overlap heavily — no sentence says why to pick this one.

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?

Usage is only implied by the content inventory and by the note that 'all' adapts to item type (industrial goods get b2b/trade/search only). There is no explicit when-to-use guidance, no exclusions, and no named alternative despite several plausibly overlapping siblings.

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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