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

Annotations already declare readOnly=true, destructive=false, openWorld=true, so the safety profile is covered. The description adds genuinely new behavior: single-round only, no conversational follow-up, and that follow-ups require the agent to summarize context and re-issue a keyword. It does not describe result volume or freshness limits beyond 'latest web information'.

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?

Purpose, use cases, the single-round constraint, and trigger terms are ordered sensibly and front-loaded. The trailing trigger list is long and somewhat redundant with the opening sentence, mildly inflating length without adding much new meaning.

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 one-parameter, read-only, open-world scraping tool with no output schema, the description covers what is returned (AI-summarized key points) and how it behaves across turns. Remaining gaps like response shape or rate limits are minor given the annotation coverage.

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 coverage is 100% and there is only one parameter, so the property description already explains the q= semantics and single-turn constraint. The description reinforces the 'single keyword' scope but adds no syntax, length, or formatting guidance beyond the schema.

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?

Opens with a specific verb+resource ('AI Overview (AI Mode) scraping via Google Search') and states the output ('AI-summarized key points for a single keyword'). That is clearly separable from siblings like nexscope_web_search or nexscope_data_ai_search_google_search, since it names the AI Mode surface explicitly.

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 enumerates use cases (deep research, technical Q&A, long-tail product selection, cross-border consumer analysis) and trigger phrases, which give an agent a clear context for selecting it. It stops short of naming alternatives or when-not-to-use conditions, so it is context-rich but not exclusion-complete.

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