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

No annotations are provided, so the description carries the full burden. It only lists output aspects (articles, source diversity, interest trend) but does not disclose how the tool behaves, what data sources it uses, whether the analysis is real-time, or the shape of the returned result. This is insufficient for an analysis tool with no annotation support.

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 very brief, but the brevity comes at the cost of clarity. It is structured as a label followed by a colon and list, which is efficient but lacks a clear verb or sentence structure. Every word is necessary, but the content is under-specified.

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?

There is no output schema and no annotations, so the description must explain the full behavior and expected return. It mentions three aspects but does not describe how they are combined, what response format to expect, or any prerequisites. For a complex analysis tool, this is incomplete.

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 complete descriptions for both parameters (query and country), achieving 100% coverage. The description does not add any meaning beyond the schema's parameter descriptions, so a 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 says 'Deep analysis' which is a vague verb, but it does list the covered aspects: articles, source diversity, interest trend over time. This gives some sense of the resource and scope, though it doesn't clearly differentiate from siblings like trend_over_time or search_news.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention similar tools like trend_over_time or breaking_now, nor does it state exclusions or preferred use cases. The description leaves the agent without a basis for selecting it over siblings.

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