Submit EU AI Act fact answers

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

Annotations already declare destructiveHint=true, readOnlyHint=false and openWorldHint=true, so the mutation profile is covered. The description usefully adds that the call re-derives the waterfall tier (the actual downstream effect) and that it requires the assessments:write permission, which the annotations do not convey.

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 short sentences, zero filler, with the core action and its side effect front-loaded. Every clause adds information.

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?

No output schema exists, so the description would ideally state what the caller gets back (e.g. the new tier), but it only says a re-derivation happens. Combined with the undocumented required assessmentPid and 0% schema coverage, it is adequate but leaves real gaps.

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%, so the description carries full burden, yet it only mentions factPath, value and optional justification. The required top-level assessmentPid is never mentioned, evidenceChunkIds is omitted, and the polymorphic value type (boolean | string[] | null) is not explained.

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 states a concrete verb (Submit) and resource (answers for open EU AI Act facts) plus a consequence (re-derive the waterfall tier). It clearly reads as the write-side counterpart to the 'open facts' listing tools, though it never explicitly names a sibling to differentiate from.

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?

'Submit answers for open EU AI Act facts' implies the trigger condition (there are open facts awaiting answers), but no when-not guidance, prerequisites, or explicit alternative tool is given. Usage is inferable rather than stated.

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