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

Without annotations, the description at least discloses that the tool returns clean JSON and costs 1 credit per call. It does not mention authentication, rate limits, side effects, or behavior when no keyword or proxy country is supplied.

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 and front-loaded with the main purpose, followed by useful context and cost information. Minor marketing filler like 'with ease' and 'and more' prevents a perfect score.

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?

The description is sufficient for an agent to understand what the tool does and roughly what it returns. It is not fully complete, though, because it lacks output schema / example response, exact required parameter behavior, and edge-case or error details.

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 schema provides meaningful descriptions for proxy_country and results_show, but keyword only has an example and no description. The description itself adds no parameter-specific insight, though the parameter names are mostly self-explanatory.

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 a specific verb and resource: it extracts structured data from Google SERPs and parses both ads and organic results. This makes the tool's purpose unambiguous and meaningful beyond just its name.

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?

It provides concrete use cases such as SEO analysis, competitor research, and search ranking monitoring, plus billing context. There are no explicit when-not-to-use instructions, but no sibling tools exist to differentiate against.

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