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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context the annotations lack: results are community prompts ranked by paid generations driven, i.e. the ordering is popularity-based rather than relevance-based. It stops short of describing result freshness, pagination, or what a 'prompt card' contains.

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?

Two sentences, zero filler, and the usage trigger is front-loaded before the return-value explanation. Every clause earns its place by either routing the agent or describing the output.

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?

There is no output schema, so the description carries the burden of explaining returns, and it does name the return type and ranking criterion. Minor gaps remain: no mention of how far back 'trending' looks, result freshness, or what fields a prompt card exposes.

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?

Only one parameter (limit), and schema coverage is 100% with a description already stating the default and max. The prose adds no additional meaning about the parameter, so the baseline 3 applies.

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?

States a specific verb and resource ('Returns community prompt cards') plus the ranking basis ('ranked by the paid generations they actually drove'), which cleanly separates it from search_prompts, get_prompt, and list_models. An agent can identify the tool's output shape without opening the schema.

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?

Gives explicit trigger phrasings ('trending, most-used, most popular, or top prompts') and an explicit negative routing rule ('do NOT keyword-search for these'), which steers the agent away from the sibling search_prompts. Both when-to-use and when-not-to-use are covered.

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