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

With no annotations provided, the description carries the full burden. It discloses the conversion behavior, output format (Markdown), and cost ($0.01 USDC), but lacks details about fetching behavior, failure conditions, or page limits. That's adequate for a simple conversion tool but not deep transparency.

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 an extremely concise two-part statement: transformation and price. Both elements are useful and front-loaded with no filler.

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 one-parameter, no-output-schema tool, the description covers the essential use case and cost. It does not mention failure cases, URL requirements, or whether the returned Markdown is cleaned/truncated, but it is sufficient for a basic invocation decision.

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?

Schema coverage is 0%, so the description must compensate for the single 'url' parameter. It does so by specifying 'URL -> LLM-ready Markdown', clarifying the URL is expected and that output is markdown; this is meaningful but does not explain formatting or edge cases related to the URL.

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 'RU-страница URL -> LLM-ready Markdown' clearly defines the tool as converting a Russian webpage URL into Markdown, giving a specific input (RU page URL) and output (LLM-ready Markdown). It doesn't state explicit alternative-selection criteria or differentiate among sibling search/research tools, so not a perfect 5, but it's more specific than a mere restatement of the tool 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?

The description implies the use case: supply a Russian page URL and receive LLM-ready Markdown. It does not explicitly tell the agent when to choose this over siblings like ru_search or ru_research, and it doesn't mention URL formatting or non-Russian page exclusions.

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