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

With no annotations, the description carries the full burden of behavior disclosure. It does convey the key result — producing an APIs.json document with an Arazzo hint for the team to commit — which makes the read/export nature reasonably inferable. However, it does not mention permissions, failure modes, or whether any state is modified, so it is adequate but not rich.

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?

The description is a single focused sentence that front-loads the action and output. The 'UNDERSTANDING —' prefix is a minor nonessential addition, but the overall structure is tight and scannable.

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 simple export tool with one required parameter and full schema coverage, the description is largely complete: it states the output artifact, which compensates for the lack of an output schema. It could be stronger by noting when to choose this over export_dataset, but that gap is more about usage guidance than contextual completeness.

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 100%, so the schema already documents capabilities, region, and context. The description itself adds no parameter-level detail, which fits the baseline of 3 for full schema coverage.

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 ('Export') and resource ('a designed capability stack') and clearly states the output form ('adoptable APIs.json document'). It is not a tautology and is distinct in action, though it does not explicitly differentiate itself from sibling tools like export_dataset.

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?

There is no guidance on when to use this tool versus alternatives such as export_dataset, recommend_stack, or the find_* family. It implies a prerequisite (a designed stack) but does not state exclusions, alternatives, or concrete use conditions.

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