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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds useful context about which fields the response surfaces, but says nothing about rate limits, caching, or what happens on a nonexistent slug — the _apiKey parameter's limit implications live only in the schema.

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?

Two tight sentences plus an example, with purpose and the sibling routing front-loaded. The example call slightly duplicates the schema's examples array, so it is not maximally economical, but nothing is wasted or buried.

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?

With no output schema, the description must carry the burden of describing return content, and it does by naming the fields returned. Combined with 100% schema coverage and full annotations, an agent has everything needed to call this correctly after a top_launches lookup.

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%, and the slug property already documents its format and provenance (from a launch's url/slug). The description's inline example repeats the schema's own examples array rather than adding new meaning. Baseline 3 applies when the schema does the heavy lifting.

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 and resource ("Get full details for a single Product Hunt launch by its slug") and enumerates what comes back (description, makers, topics, vote/comment counts). It is clearly distinguishable from the sibling top_launches, which it explicitly names as the list-level counterpart.

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?

Gives an explicit chaining rule: "Use after top_launches to dig into a specific new product / startup launch." That is real when-to-use guidance tied to a named sibling. It stops short of saying when not to use it (e.g., no bulk or search use case) and doesn't cover failure modes like a missing or stale slug.

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