google_serp_ai_mode: GET /

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

Without annotations, the description carries the full burden. It transparently lists the response components (conversational text, cited links, subtopic breakdowns, follow-up suggestions, subsequentRequestToken) and mentions multi-turn continuation via the token. It implies a read-only GET operation, which is reasonable for a SERP tool. However, it does not disclose potential rate limits, authentication requirements, or error behavior, which would be expected from a tool with no annotations.

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, well-structured paragraph that starts with the core purpose, then details return fields, and ends with use cases and examples. It is informative but not overly verbose—the examples serve a practical purpose. It earns its place by providing both high-level intent and concrete invocation examples, though it could be slightly tightened without losing 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 no output schema and no annotations, the description compensates by enumerating the expected response fields (conversational text, cited source links, subtopic breakdowns, follow-up suggestions, subsequentRequestToken) and giving example queries. It does not cover every parameter's nuances or error handling, but it gives an agent enough context to decide when to use the tool and what to expect. The lack of an output schema but clear return list supports a 4.

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 description coverage is 100%, so the baseline is 3. The tool description does not add detailed parameter semantics beyond the schema, but it does provide example queries for 'q' (e.g., 'Who is the CEO of HasData?') and indirectly references 'subsequentRequestToken' and 'continuable' via the 'multi-turn continuation' phrase. This adds some value, but it does not fully compensate for the schema's already-complete coverage, so a 3 is appropriate.

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 opens with a clear verb+resource ('Get AI Mode SERP Results') and elaborates on what it captures ('Gemini-powered AI Mode answers from Google Search') and what it returns (conversational text, source links, subtopic breakdowns, follow-up suggestions, subsequentRequestToken). This distinguishes it from siblings like ai_overview_getAiOverviewResponse by emphasizing 'AI Mode' and 'Gemini-powered', making the tool's niche unambiguous.

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 'AI-answer monitoring', 'citation tracking', 'content research agents', and 'person/company data enrichment', with concrete example queries. While it does not list alternative sibling tools or explicitly state when not to use it, the context is clear enough for an agent to infer appropriate usage. The absence of exclusions lowers it slightly from a 5.

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