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Annex IV Technical Documentation Checklist

euaiact_annex_iv_checklist
Read-onlyIdempotent

Retrieve the full Annex IV technical documentation requirements for high-risk AI systems under Art. 11. Output as JSON or a markdown checklist for audit preparation.

Instructions

Return the full Annex IV technical documentation requirements that a provider of a high-risk AI system must prepare under Art. 11 before placing the system on the market. Nine items cover: general description, detailed elements and development process, monitoring/functioning/control, performance metrics appropriateness, risk management system, lifecycle changes, harmonised standards applied, EU declaration of conformity, and post-market monitoring plan. Use format: "checklist" to also receive a markdown checklist suitable for audit prep. SMEs may provide the information in a simplified manner.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput shape: 'json' returns structured items; 'checklist' adds a markdown checklist string.json
sme_simplifiedNoIndicate whether SME-simplified preparation is being used (Art. 11(1) second subparagraph).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
checklist_markdownNo
sme_noteNo
total_itemsYes
relevant_articlesYes
Behavior4/5

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

Annotations declare readOnlyHint=true and idempotentHint=true, so safety is clear. The description adds value by detailing the nine items, the format parameter's effect, and SME handling. No contradiction with annotations.

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?

Two well-structured sentences convey all necessary information without redundancy. Every word serves a purpose.

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 the output schema exists, the description does not need to explain return values. It covers purpose, parameters, usage context, and SME considerations—sufficient for a checklist tool.

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?

With 100% schema coverage, baseline is 3. The description enhances understanding: 'format' is explained as returning a markdown checklist for audit prep, and 'sme_simplified' is contextualized. This goes beyond the 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 returns 'the full Annex IV technical documentation requirements' and lists the nine items covered. The verb 'return' and resource are specific, and the tool is easily distinguishable from siblings that answer questions or classify systems.

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

Usage Guidelines4/5

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

Description provides context: use 'before placing the system on the market' and notes SME simplification. It explains the 'format' and 'sme_simplified' parameters. However, it does not explicitly state when not to use this tool or compare it to alternatives.

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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