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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly explains that output is grouped per source, limited to per_source results per site, and pre-ranked by swarm health. It also details the expected response format via the 'Response Requirements' section. It does not disclose rate limits, authentication needs, or failure modes, but for a read-only list tool, the disclosed behavior is fairly comprehensive.

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 concise and well-structured: a clear purpose sentence, a grouping/ranking explanation, and a bulleted list of response requirements. It is front-loaded with the core purpose. The response requirements are useful instructions but add length; still, every sentence serves a purpose. No fluff.

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?

Given one parameter with full schema coverage and an output schema (indicated), the description covers the tool's purpose, output grouping, ranking, and response format. It lists the exact sources and the per_source limit. It does not mention potential edge cases like empty results or error handling, but for a list tool with an output schema, this is adequate.

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?

The schema already describes the only parameter `per_source` with full coverage. The description adds value by explaining that per_source controls 'how many top results to keep per source' and ties it to the grouping behavior. This reinforces the parameter's effect on output, going beyond the schema's simple description.

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 opens with a specific verb and resource: 'Get the most popular torrents right now across providers with an official top listing.' It clearly differentiates this from search_torrents and get_torrent by emphasizing 'most popular' and 'official top listing.' The mention of specific sources (thepiratebay.org, uindex.org, etc.) further concretizes the scope.

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?

The description implies usage (for fetching popular torrent lists) but does not explicitly state when to prefer it over search_torrents or get_torrent. It mentions 'across providers with an official top listing' as a distinguishing factor, but no explicit 'when-not-to-use' or alternative names are provided. The response requirements give guidance on output formatting but not on tool selection.

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