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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds real behavioral context beyond them: the two-stage retrieval (editorial picks first, automatic expansion to all public items only on empty results), which affects result interpretation and is not in any structured field.

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 padding, and the escalation rule is front-loaded right after the core search statement. Every clause carries information an agent needs.

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 output schema, the description should carry more of the burden, but it does cover the query scope, the temporal window, and the fallback behavior. Minor gaps remain around result shape and how limit interacts with the two-stage search, but nothing blocking for invocation.

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 100%, so both query semantics and limits are already documented in the schema; the description's breakdown of acceptable query subjects ('topic, company, model, product, or person') adds modest value. It also says the window is 'latest 7 days,' which only partially matches the schema's 24h/7d window enum and could mislead an agent away from the 24h option.

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 (search) and resource (AIHOT items from the latest window), and the 'editorial picks first' framing distinguishes it from retrieval siblings like aihot_get_latest or aihot_get_daily. It stops short of naming any sibling directly, so the distinction is inferable rather than explicit.

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?

It gives a clear context of use (query by topic, company, model, product, or person), which implies 'use this when you have a search term.' However, it offers no exclusions or alternatives, leaving the agent to guess how it differs from aihot_get_latest or aihot_get_hot_topics when no specific term is needed.

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