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

No annotations are provided, so the description must fully convey behavior. It states the tool returns live data and details per-post fields (score, comments, sentiment, link). It also implies a read-only operation. While it does not cover every aspect (e.g., rate limits, data freshness beyond 'live'), the description is sufficiently transparent for simple usage.

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, each serving a distinct purpose: stating the functional scope, providing a usage scenario, and detailing output fields. It is front-loaded with the essential information and contains no redundant or unnecessary text.

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 output schema, the description provides a good overview of the return values (posts with scores, comments, sentiment, links, plus themes). It adequately covers the tool's complexity for an agent to understand what it returns. However, it lacks details on how themes are represented or structured, which could be helpful for full completeness.

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 the baseline is 3. The description does not add significant meaning beyond the schema; it only provides an example query format. The parameters (days, limit, subreddit) are adequately documented in the schema, and the description offers no additional context or constraints.

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 fetches top recent posts and dominant discussion themes for a query across Reddit and Hacker News. The verb 'get' is implied, and the resource is well-defined. However, it does not explicitly distinguish this tool from its siblings (emerging_terms, mention_pulse, trending_topics), though the mention of both posts and themes across two platforms provides some implicit differentiation.

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 includes a usage phrase: 'Use to quickly understand what are people saying about X.' This gives a clear context for when to use the tool. However, it does not provide any explicit when-not scenarios or comparisons with alternative tools, leaving the agent to infer applicable use cases.

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