SERP features

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

With no annotations, the description carries the full burden. It discloses a meaningful behavioral trait: calls go through a configured SERP API rather than direct scraping, which implies external dependency and rate-limit considerations. Yet it does not state whether the operation is read-only, whether configuration is required beforehand, or what happens on API failure—leaving notable gaps.

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, front-loaded sentence that leads with the tool's core outputs, then adds the API/scraping constraint. Every phrase earns its place, and there is no repetition of the title or filler content.

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 relatively simple two-parameter tool, the description conveys the central purpose and a key operational constraint. However, with no output schema and no annotation coverage, it omits any description of the return format, the role of the region parameter, and prerequisites like API configuration, leaving an agent with unresolved questions before invoking the tool.

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 0%, and the description does not mention the query or region parameters at all. While the parameter names are somewhat self-explanatory, the description adds no meaning about acceptable formats, semantics, or how region affects results, so it fails to compensate for the missing schema documentation.

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 uses a specific verb ('Detect') and names a clear resource: SERP features, explicitly listing featured snippets, PAA, related searches, and organic results. This makes it easy to distinguish from sibling tools like scrape_page or extract_keywords, which address different resources and operations.

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 implies a use case—detecting SERP features via a configured API—and adds a constraint ('never scrapes Google directly'), which signals a boundary. However, it does not explicitly state when to choose this tool over alternatives such as scrape_page, nor does it provide any exclusions or condition-based routing.

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