aura_trending

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

No annotations are provided, so the description carries the full burden. It discloses the scope (free catalogue) and the aggregation behavior (four entity types in one response), which is genuinely useful behavioral context. It says nothing about ordering, freshness windows, read-only nature, or how 'limit' bounds the result set, leaving real gaps for a tool with zero annotation coverage.

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?

A single well-formed sentence with no filler; the core value proposition (new and popular, aggregated across the catalogue) is front-loaded. The phrasing is slightly loose ('What is new and popular') but nothing is wasted.

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?

With no annotations and no output schema, the description is the only source of information, and it adequately conveys what categories of results come back. It does not cover the limit parameter, result ordering, or the default result size, so it is only minimally complete for an agent trying to call it 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?

There is a single parameter (limit) with 0% schema description coverage, and the description never mentions it. An agent must guess whether it caps total results, results per category, or has a default. This is the main semantic hole in an otherwise clear definition.

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 states a specific purpose: a trending/popularity feed across the free catalogue, returning top components, skills, assets and design systems. It clearly distinguishes itself from the sibling search/get tools, which are query-driven rather than popularity-driven. It stops short of naming those siblings explicitly, but the intent is unambiguous.

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?

'in one call' implies aggregation across entity types, hinting at when to prefer this over running several searches. However, there is no explicit routing guidance versus aura_search_all or aura_recommend, nor any statement of when this is not appropriate (e.g., for a targeted query). Usage is implied rather than stated.

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