ubersuggest_domain_overview

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'comprehensive domain analysis' but doesn't specify what that entails (e.g., data freshness, rate limits, authentication needs, or whether it's a read-only operation). This leaves critical behavioral traits undefined for the agent.

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, efficient sentence that front-loads the core purpose without unnecessary words. Every part of the sentence ('Get comprehensive domain analysis including traffic and ranking data') contributes directly to understanding the tool's function, making it highly concise and well-structured.

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 lack of annotations and output schema, the description is incomplete for a tool that performs 'comprehensive domain analysis'. It doesn't explain what 'comprehensive' means, what specific metrics are returned, or how the analysis is structured, leaving significant gaps for the agent to operate effectively.

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 description coverage is 100%, with clear descriptions for both parameters ('domain' and 'country'). The description adds no additional parameter semantics beyond what's in the schema, such as format examples or constraints. Since the schema does the heavy lifting, the baseline score of 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 clearly states the tool's purpose with a specific verb ('Get') and resource ('comprehensive domain analysis including traffic and ranking data'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'ubersuggest_traffic_estimation' or 'ubersuggest_site_audit', which likely provide overlapping or related 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?

The description provides no guidance on when to use this tool versus the sibling tools. There's no mention of alternatives, prerequisites, or specific contexts where this tool is preferred over 'ubersuggest_keyword_research' or 'ubersuggest_site_audit', leaving the agent to infer usage from tool names alone.

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