analyze_niche_trends

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

No annotations are provided, so the description must carry the full burden of behavioral transparency. It mentions that it looks at 'rising' or 'hot' posts, but it does not disclose that the tool likely makes a network request (potential latency, API limits), or that results are dynamic based on current Reddit data. It doesn't explain that it may return posts outside the niche if not filtered properly. The description adds some behavioral context (using 'Rising' to find current struggles) but falls short of fully disclosing expected behavior.

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, with three sentences that are directly relevant. It front-loads the primary use case, then adds a practical tip for the agent. No redundant information or filler; every sentence earns its place.

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 the tool's complexity (4 parameters, including a pagination token and trend type) and the absence of annotations, the description covers the essential semantics and usage guidance. However, it does not mention the output schema, which could be beneficial for agent understanding, but since an output schema exists, the description doesn't need to explain return values. The lack of detail on `limit` and `page_token` is a minor gap, but overall the description is sufficient for the 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 description coverage is 0%, so the description must compensate for parameter meaning. It explicitly references `created_at` and `current_server_date`, and by mentioning 'rising' or 'hot' it indirectly explains `trend_type` as a way to filter posts. It also implies the use of `subreddit_name` to define the niche. While it doesn't detail `limit` or `page_token`, the description provides enough context for the key parameters, earning a 4.

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 clearly states the tool's purpose: to analyze niche trends for suggesting ideas and finding pain points based on rising/hot posts. It explicitly names the resource (specific niche) and the action (analyze trends), and it distinguishes itself by focusing on identifying immediate user problems, unlike sibling tools which focus on knowledge search, general discussions, opinion extraction, or saved posts.

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 explicitly states when to use the tool ('when asked to suggest ideas, find pain points, or discover opportunities in a specific niche') and implies when not to (e.g., for general discussions or knowledge searches). It also provides a key usage guideline: compare post dates with the current server date to ensure trends are recent, which is critical for the tool's intent.

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