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Classify AI System Under EU AI Act

euaiact_classify_system
Read-onlyIdempotent

Classify an AI system's risk level under the EU AI Act using a free-text description and structured signals. Returns risk classification, applicable categories, and follow-up questions.

Instructions

Classify an AI system's risk level under the EU AI Act (Regulation 2024/1689). Accepts a free-text description, a use_case, and/or structured signals (domain, biometric flags, synthetic content, etc.). Signals take precedence over text matching for deterministic classification. Returns risk classification, applicable Annex III category, relevant articles, provider/deployer determination, matched signals, and follow-up questions the agent should relay. Note: Art. 6(3) exceptions require documented justification and cannot be auto-applied; use euaiact_assess_art6_3_exception.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionNoFree-text description of the AI system and its functionalities
use_caseNoSpecific context where the system is deployed
roleNounknown
signalsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
risk_classificationYes
confidenceYes
annex_iii_categoryYes
relevant_articlesYes
role_determinationYes
obligations_summaryYes
caveatYes
matched_signalsYes
missing_signalsYes
next_questionsYes
basisYes
lexbeam_urlNo
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. Description adds behavioral details: signal precedence, return of follow-up questions, and that Art.6(3) cannot be auto-applied. No contradictions.

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?

Four sentences, no fluff. Purpose first, then inputs, then behavioral note, then outputs and reference. Every sentence adds value. Front-loaded with primary function.

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?

Given complexity of EU AI Act classification and many signals, description covers inputs, behavioral precedence, output contents, and links to related tool for Art.6(3). Output schema exists, so no need to detail return values. No gaps.

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?

Schema description coverage is 50%, but description adds context by grouping signals (domain, biometric flags, synthetic content) and explaining precedence. Does not repeat schema details but provides useful overview. Adds beyond schema.

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?

Description clearly states the tool classifies AI system risk under EU AI Act, distinguishes from sibling tools by referencing the separate tool for Art. 6(3) exceptions. Verb 'classify' with specific resource 'AI system's risk level' and scope is clear.

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?

Description explicitly explains when to use (classification) and when not (Art. 6(3) exceptions should use euaiact_assess_art6_3_exception). Also states that signals take precedence over text matching, guiding proper input strategy.

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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