Assess an AI System Under the EU AI Act

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

Beyond the annotations (readOnlyHint, idempotentHint, openWorldHint=false), the description adds meaningful behavior: 'Sparse inputs fail closed' and 'Impact never changes legal classification, and classification never implies implementation readiness.' It also describes output composition and provenance, matching the read-only assessment nature without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three dense sentences, each earning its place: what the tool does, what it returns, and key behavioral caveats. Key points are front-loaded, with no filler or repetition of schema details.

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

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

For a complex tool with 15 parameters and nested objects, the description covers the core purpose, output structure, fail-closed behavior, and logical independence of results. The presence of a rich input schema and output schema lowers the burden, though it doesn't mention how to construct the profile or the required profile_version.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain individual parameters like profile_version, identity, gpai, or annex_iii. The phrase 'one normalized EU AI Act system profile' gives only a general sense of the top-level object; with 15 nested parameters this is insufficient compensation for missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Assess' with a clear resource: 'one normalized EU AI Act system profile against the pinned sealed corpus.' It distinguishes from siblings by promising 'separate legal-classification, impact, and implementation-readiness blocks,' which differentiates it from euaiact_classify_system and other narrower assess_* tools.

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

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

The context is clear: use this when you have a normalized profile and want a broad assessment with classification, impact, and readiness in one call. However, it never names sibling alternatives or provides explicit when-not-to-use guidance, so it doesn't reach the highest standard.

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