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

No annotations are provided, so the description carries the burden of disclosure. It openly states the return values and filter behavior ('Empty = all regions'), but it does not mention data freshness, aggregation details, or any potential limitations such as API costs or pagination.

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 well-structured with clear separated sections for returns and arguments. It is concise, but the marketing sentence ('Perfect for investors...') adds some non-essential context, preventing 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?

For a simple two-optional-parameter analytics tool, the description covers purpose, return content, and parameter semantics adequately. The presence of an output schema (though not shown) may reduce the need to detail return structures. It lacks guidance on how this tool relates to sibling tools, but overall it is sufficiently complete.

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 has 0% description coverage, but the tool description compensates by explaining both parameters with concrete examples ('Москва', 'Санкт-Петербург') and clarifying that empty values mean all regions/categories. This adds meaningful meaning beyond the bare schema.

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 'Get comprehensive market analytics for the Russian construction market' with a specific verb and resource. It lists concrete return types (average prices, top companies, market size, price distribution), which helps distinguish it from broader sibling tools, though it does not explicitly name alternatives for differentiation.

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 identifies the target audience ('Perfect for investors, analysts, and companies entering the market'), which implies when to use it. However, it does not explicitly state when not to use it or how it differs from sibling tools like market_report or get_stats.

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