google_serp_ai_mode: GET /

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

With no annotations provided, the description carries the full burden. It details the return components (conversational response, cited sources, subtopics, follow-ups, continuation token) and implies a read-only, AI-powered search, which is adequate behavioral disclosure.

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 a single long paragraph that lists many use cases and examples, making it somewhat verbose and less concise. Not all sentences are essential; some redundancy exists between the use case list and examples.

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?

While the description covers the main purpose and return components, it lacks detailed parameter explanations (e.g., location, continuable) and does not compensate for the missing output schema. For a complex tool with 7 parameters and no output schema, more completeness is expected.

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 covers 100% of parameters with descriptions, meeting the baseline for schema coverage. The description adds no extra parameter meaning beyond the schema, only mentioning the search term in examples. Thus, it does not improve parameter understanding 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 clearly states the tool gets AI Mode SERP results from Google Search, listing the components returned. However, it does not differentiate from sibling tools like 'hasdata_google_serp_ai_overview_getAiOverviewResponse' or 'hasdata_google_serp_serp_getSearchResults', which may cause confusion.

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 extensive use cases and example queries, giving clear context for when to use the tool. However, it does not specify when not to use it or mention alternative tools for similar tasks.

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