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

With no annotations, the description carries the behavioral burden well: it discloses excluded file types, checksum companion linking, ambiguity-return behavior, no private repo/auth support, and a per-successful-call price. It does not cover failure modes, rate limits, or idempotency.

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?

Four sentences, front-loaded with purpose before behavior and constraints. No filler, though the first sentence is long and dense.

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 should explain return values. It says it returns ambiguity instead of silently choosing ties and links checksum companions, but does not describe the successful return shape (asset URL, name, checksum fields).

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 all five parameters. The description mentions 'normalized OS/architecture target' and 'public GitHub release' but adds no new parameter-level semantics beyond what the schema provides.

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?

States a specific verb ('Resolve') and resource ('public GitHub release') and the precise result ('most plausible downloadable asset for a normalized OS/architecture target'). The domain and exclusions clearly distinguish it from the sibling 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?

Usage is implied by the purpose statement: use this when you need a downloadable asset for a given OS/arch. The public-only constraint ('No private repositories') is a when-not, but there are no explicit alternatives named or conditions for choosing among siblings.

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