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

No annotations are provided, so the description carries the behavioral disclosure burden. It explains that the tool scrapes a live Google carousel and returns specific fields, implying a read-only network operation. It does not mention rate limits, auth, or failure modes, but these are less critical for this non-mutating scraper.

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 reasonably short and front-loaded, with the core scraping behavior in the first sentence and output fields and use cases following. The opening heading repeats the tool name and the use-case list is slightly expansive, but the overall text is efficient and relevant.

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?

For a 9-parameter tool with no output schema, the description compensates by listing return fields and mentioning pagination plus location/country/language options. It does not specify result count, maximum page, or exact response structure, but the schema fully documents the parameters and required query.

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 already describes 100% of the parameters, so the baseline is 3. The description adds only high-level grouping such as 'country (gl/cr), language (hl/lr), device type' without clarifying relationships, formats, or usage beyond what the schema already provides.

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 uses a specific verb ('scrapes') and a specific resource ('Google Short Videos carousel'), and names the content sources (TikTok, YouTube Shorts, Instagram Reels). This clearly distinguishes it from sibling SERP tools like general search or news results.

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 provides explicit use cases such as 'short-form content discovery, viral-trend monitoring, influencer research, cross-platform video aggregation' and sourcing clips for LLM responses. However, it does not explicitly contrast with sibling tools or state when not to use this tool.

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