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

With no annotations, the description carries the full burden, and it discloses useful behavior: results are community-voted plus an AI listing score, entries are public, ownership-verified, and date-assigned. It stops short of covering result limits, ordering ties, or pagination for a leaderboard, which an agent would want to know.

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 sentences, front-loaded with the core definition before the supporting context about the platform and ranking. Some platform-marketing phrasing ('transparent queue', 'ownership-verified') is marginally promotional but still aids differentiation.

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 one-parameter read tool this covers purpose, scope, and ranking basis adequately. Since there is no output schema, it could say more about how many items are returned or how ties are broken, but nothing essential is missing.

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 coverage is 100% and the single 'period' parameter is a documented enum, so the schema already does the work. The description's 'day, week, or month' merely restates the enum without adding format or default behavior.

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 ('top products launched in the last day, week, or month, ranked by points') and defines the ranking formula, which cleanly separates it from siblings like toolfound_search_tools or toolfound_get_product.

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 explicit use cases ('what launched recently', 'trending tools' questions), which is clear context for when to reach for this tool. It does not name an alternative or state when not to use it (e.g., keyword lookup should go to search_tools), so it falls short of a 5.

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