traffic_drop_diagnosis

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

No annotations are provided, so the description must convey behavioral traits. It mentions the output categories but does not disclose data freshness, required permissions (e.g., access to Google Search Console), or whether the analysis is based on historical data. It gives a moderate level of clarity but lacks depth.

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 sentence that efficiently conveys the core purpose. It is front-loaded and without unnecessary words. A more structured format (e.g., listing categories) could improve clarity, but it is concise enough.

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 the complexity (7 parameters, no output schema, many siblings), the description is too brief. It does not explain the return format, how results are grouped, or how to interpret the categories (e.g., what 'mixed signal' means). Essential context for an AI agent to use the tool effectively is missing.

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 57% of parameters with descriptions (according to context), so the description does not add extra meaning beyond what is already in the schema. The description does not elaborate on parameter usage or defaults, so it provides no additional value in this dimension.

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's purpose: to explain traffic losses as specific categories (ranking loss, CTR loss, etc.). The verb 'Explain' and resource 'traffic losses' are specific, and it distinguishes from sibling tools by focusing on diagnosis rather than raw data or other analyses.

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?

No guidance is provided on when to use this tool versus alternatives like 'performance_overview' or 'top_pages'. The description does not mention prerequisites, limitations, or when not to use it. With many sibling tools, the lack of usage context is a significant gap.

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