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

With no annotations, the description carries the full load; it does disclose the searched fields and target site, which is real behavioral value. It says nothing about matching semantics (substring vs word), result ordering, or how many results come back, which matters for a search tool with no output schema.

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?

One sentence, front-loaded with the verb and immediately followed by the scope. Nothing redundant, nothing to trim.

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 single-param read tool this is close to adequate, but with no annotations and no output schema the description should indicate what a result contains (article titles? snippets?) and any result limit. That gap is not fatal but is real.

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?

Only one parameter, and the schema already documents it at 100% coverage with an example. The description's mention of the searched fields adds context about the query's effect but no syntax, length, or format guidance beyond the 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?

Names a specific verb (ищет) and resource (статьи) and narrows scope precisely to titles, descriptions and body text of the pandawed.ru blog. It implicitly separates itself from list_articles and get_article, but never names those siblings, so the differentiation is left to inference.

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 wording implies keyword lookup rather than enumeration, which hints at when to prefer this over list_articles, but the description never states that condition or any exclusion. An agent must guess that list_articles is for browsing and get_article for retrieving one known article.

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