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Get Obligations by Role and Risk Level

euaiact_get_obligations
Read-onlyIdempotent

Retrieve compliance obligations for providers or deployers based on AI system risk level under the EU AI Act.

Instructions

Returns specific compliance obligations for providers or deployers based on AI system risk level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYesProvider or deployer role
risk_levelYesAI system risk level. Use 'gpai' for general-purpose AI model obligations (Art. 51-56).
filter_keywordNoOptional keyword filter for obligations

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYes
risk_levelYes
obligationsYes
penaltiesYes
lexbeam_urlNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, indicating safe read behavior. The description adds context about returning compliance obligations but does not disclose additional behavioral traits; however, given the simple query nature, it is adequate and does not contradict 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?

The description is a single 13-word sentence that includes all essential elements: action, result, target, and condition. No redundant information.

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?

The tool has an output schema, so return values need no explanation. The description together with the schema and annotations fully covers input requirements and tool behavior for a query tool.

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%, so the schema already documents all parameter meanings and enums. The description adds no extra meaning beyond restating the tool's purpose, meeting the baseline expectation.

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?

The description clearly states the verb 'Returns' and the resource 'compliance obligations', with qualifiers 'specific', 'for providers or deployers', and 'based on AI system risk level'. This uniquely distinguishes the tool from siblings like euaiact_classify_system or euaiact_get_article.

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?

The description implies use when needing obligations for a given role and risk level, but does not explicitly state when not to use it or mention alternatives among sibling tools. Clear context but no exclusions.

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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