google_serp_ai_mode: GET /

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

No annotations provided, so description carries full burden. It describes the output fields (e.g., conversational response, source links) but does not disclose if the tool is read-only, rate limits, or authentication requirements. The behavior is implied but not fully transparent.

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 lengthy (over 200 words) and includes repetitive use cases. While front-loaded with purpose, it could be more concise by trimming redundant examples or grouping them more tightly.

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 no output schema, the description adequately explains the return fields and provides sufficient context for the tool's use in various scenarios. It covers the expected output and typical query patterns.

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% with descriptive fields. The description adds value by providing example queries for the 'q' parameter, helping the agent understand the expected input format and use cases. Does not add much for other parameters but the examples suffice.

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 it gets AI Mode SERP results from Google Search and lists the returned fields. However, it does not explicitly distinguish itself from the sibling 'hasdata_google_serp_ai_overview_getAiOverviewResponse' tool, which could 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?

Provides rich guidance on when to use the tool with specific examples and use cases like lead enrichment and content research. Does not mention when not to use or compare to alternatives, but the context is strong enough for an agent to decide.

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