list_popular

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 only states the purpose and a use case, but does not disclose aspects such as read-only nature, the need for authentication, rate limits, or what happens if no assets are found. The behavior is minimally transparent.

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 two sentences, front-loaded with the core purpose, and the second sentence adds value by stating a use case. Every word is necessary and there is no redundant information.

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 simplicity (2 optional parameters, no output schema), the description is adequate but lacks details about result ordering (e.g., descending by download count), output format, or how to use the type filter. It does not fully compensate for the absence of annotations, so completeness is moderate.

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 input schema has 100% coverage, describing both parameters (type and limit) with enums, defaults, and ranges. The description adds no additional meaning beyond the schema; it does not elaborate on how to use the parameters effectively. Thus, the score is at baseline.

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 verb 'list' and the resource 'popular Spark assets', with specific ordering by download count. It also notes the use case for discovering top-rated AI tools. This effectively distinguishes it from sibling tools like get_asset, get_asset_content, list_categories, and search_assets, which serve different purposes.

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 offers implicit usage guidance by mentioning 'discovering top-rated AI tools', but it does not explicitly state when to use this tool versus alternatives, nor does it include when-not-to-use conditions. Sibling tools are present but not referenced in the description.

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