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assess_importability

Evaluates end-to-end importability of Chinese industrial components into the EU or US, assessing mandatory export approvals, overseas documentation, indicative costs and compliance lead times.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
material_keywordNoOptional sensitive input to cross-check MOFCOM export hurdles simultaneously
product_categoryYesTarget industrial sector (e.g., ev_battery, consumer_battery, electronics)
destination_marketYesTarget customs territory

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It usefully enumerates the assessment dimensions returned (approvals, overseas documentation, indicative costs, compliance lead times), which compensates somewhat for the absent output schema. It says nothing about caveats, data freshness, permissions, or whether results are estimates versus authoritative, which for a compliance-adjacent tool is a real omission.

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?

A single dense sentence that front-loads the core purpose and then enumerates the assessment scope. Every clause carries information, though the list of outputs makes it slightly long for one sentence.

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?

With no annotations and no output schema, the description must describe both intent and return content; it does list the four output dimensions, which is the key thing an agent needs. It stops short of describing result format or caveats, but for a 3-parameter analytical tool this is close to sufficient.

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%, with the enum and the optional material_keyword cross-check already documented in the schema. The description adds no parameter-level meaning beyond restating 'EU or US' for destination_market, so the baseline 3 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?

The description gives a specific verb+resource+scope: 'Evaluates end-to-end importability of Chinese industrial components into the EU or US.' An agent can tell this is a composite trade-readiness assessment rather than a lookup. It never names its siblings (check_mofcom_export_controls, resolve_gb_standards), so it earns a 4 rather than a 5.

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 implied by the scope statement — call this when you need a combined view of export approvals, documentation, cost and lead time. There is no explicit when-not condition and no routing advice against the sibling tools, which is where a genuine gap lies given that check_mofcom_export_controls overlaps with the export-approval portion.

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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