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

No annotations are supplied, so the description carries the full behavioral burden, yet it says nothing about the operation being read-only, what the response contains, result ordering, or how limit interacts with total result counts. It does add useful input constraints (max 8 words / 200 chars for query, limit range 1..50), which is the main behavioral value present.

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?

A single front-loaded sentence names the verb and then enumerates parameters with parenthetical constraints, so there is little waste. It is dense but consistently structured, with no redundant sentences.

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?

With six optional parameters, no annotations and no output schema, the description covers input semantics well but leaves the agent guessing about the return shape, pagination beyond limit, and sorting. For a search tool of this complexity, that is adequate but 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?

Schema description coverage is 0%, so this text is the only documentation, and it defines all six parameters: query field coverage and length limits, court as code or name fragment, justice_kind as code or name, date format and that dates refer to the adoption date, and the limit range. Gaps remain: defaults (20, empty strings) are not mentioned and it does not state whether filters combine with AND or how empty strings are treated.

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 opening 'Пошук рішень' states a clear verb+resource (search court decisions), and the parameter list clarifies what can be filtered. However, it never distinguishes itself from siblings like search_by_case_number or get_decision, and the mention of 'номер справи' (case number) inside query actually muddies which tool to pick for a case-number lookup.

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 explicit when-to-use guidance, no exclusions, and no named alternative despite four sibling search/lookup tools. The agent must infer usage entirely from the parameter list, and the overlap with search_by_case_number is left unresolved.

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