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EUDR Compliance & TRACES-NT Agent

eudr_evaluate_compact

Evaluate 5-pillar EUDR compliance for imports—traceability, satellite radar, legal audit, cryptographic signing, OMR/customs—and return a compact summary with evidence download links.

Instructions

Executes end-to-end 5-pillar EUDR compliance evaluation (Traceability, Satellite Radar, Legal Audit, Cryptographic Signing, OMR & Customs) and returns an ultra-compact summary (~300 tokens) saving >95% LLM context tokens. Full audit evidence is securely persisted and accessible via persistent download URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
plotsYesList of production plots with plot_id, country_code, area_hectares, and geometry/coordinates.
hs_codeYesHarmonized System Code (e.g. '151110', '440711').
commodityNoRegulated commodity name or category.
documentsNoOptional list of legal origin documents (permits, land titles, certificates).
net_mass_kgNoConsignment net mass in kilograms.
operator_eoriYesOperator EU EORI / VAT number.
operator_nameYesLegal name of the EU importing operator.
destination_countryNoOptional ISO 3166-1 alpha-2 destination country code (e.g. 'FR', 'DE', 'GF').

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.2

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the output behavior (compact ~300-token summary, full evidence persisted, download URLs), but omits side-effect/auth/permission implications and any failure semantics for what is clearly an evaluation tool that persists audit evidence.

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?

Two sentences, front-loaded with the operation and pillar scope, then the output/token-efficiency detail. Efficient overall, though 'ultra-compact' and '>95% LLM context tokens' lean slightly promotional.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description does explain the return value (compact summary plus download URLs), which covers the key output gap. However, for a mutation-adjacent tool that persists evidence, the absence of any auth, cost, or side-effect disclosure leaves it only adequately complete.

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 each of the 8 parameters documented inline (plots, hs_code, commodity, documents, etc.), so the schema does the heavy lifting. The description adds no additional parameter meaning beyond what the schema already states, which is the correct baseline 3.

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?

Names a specific verb ('executes') and resource ('end-to-end 5-pillar EUDR compliance evaluation') and enumerates the five pillars, so the scope is unmistakable. It does not explicitly contrast itself with siblings like eudr_check_deforestation or eudr_generate_dds, which are adjacent compliance tools, so it stops 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.

Usage Guidelines2/5

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

The description implies this is the comprehensive evaluation but gives no when-to-use guidance, no prerequisites, and no indication of when to prefer it over the many sibling compliance tools (eudr_check_deforestation, eudr_score_kfs_checklist, eudr_generate_dds, etc.). Usage is left entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.