datasets_reddit_trending_search

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 discloses the data structure (one document per subreddit × snapshot × rank), that history accumulates, and importantly states there is no score or comment-count field because the scraper does not expose vote counts, explaining that rank reflects Reddit's hot-feed order. This is rich, honest context beyond 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?

The description is three sentences, front-loaded with the purpose, and every sentence contributes: dataset structure, usage patterns, and a caveat about missing fields. There is no redundancy or fluff; it is appropriately sized for the tool's complexity.

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 no annotations and no output schema, the description provides a solid overview of the dataset, default behavior, and key limitations. It does not enumerate return fields, but that is not required since no output schema exists and the schema covers query parameters. The description is complete enough for an agent to select and invoke the tool correctly.

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%, so baseline is 3. The description adds value by explaining the default behavior of the date parameter (latest snapshot), the combination of subreddit and sort=date_desc for history, and the meaning of rank. This goes beyond the schema's per-parameter descriptions, particularly by clarifying the semantics of rank.

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 'Search the reddit-trending dataset,' a specific verb+resource pair. It further clarifies the tool's unique scope by explaining it searches daily snapshots of subreddit hot-feed post order, distinguishing it from live Reddit tools like reddit_search and reddit_post. This is a clear, specific purpose statement.

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?

Provides concrete usage guidance: with no date, the latest snapshot is returned; pairing subreddit with sort=date_desc retrieves historical trends. It does not name alternative tools explicitly, but the context of snapshots and history implies when this tool is appropriate. The guidance is actionable and helpful.

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