google_serp_ai_overview: GET /

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

With no annotations, the description reveals that the tool fetches lazy-loaded content via a token valid for 4 minutes. It also outlines returned data (AI answer text, source URLs, subtopic sections). This is good behavioral context for a read-only follow-up tool.

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 concise with about 4 sentences, no fluff. Front-loaded with core purpose, then details and use cases. Every sentence adds value.

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 single parameter and no output schema, the description explains the return type and workflow integration. It is complete enough for an agent to use the tool correctly, though the exact response structure is not detailed.

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 the description adds context about the parameter (token from `aiOverview` block, 4-minute validity). It clarifies the token's source and purpose beyond the schema description.

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 'Get AI Overview Results' and explains it fetches the lazy-loaded AI Overview block via a pageToken from the Google SERP API. It distinguishes from siblings by specifying it is a follow-up call for AI citations and sourcing.

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?

Explicitly says 'Use as a follow-up call to Google SERP' and gives concrete use cases (SEO, fact-checking, LLM retrieval). It does not state when not to use or provide alternatives, but the context is clear.

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