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

With no annotations provided, the description carries the burden and does well: it discloses that matching is diacritic-insensitive and partial, that the dataset is fixed at 42 rows, the exact return fields, and that shortCode is the license-plate code. It does not mention auth requirements or rate limits, but for a pure read-only lookup these are minor gaps.

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 usage and boundary prose is tight and front-loaded, but the tool is preceded by a dense keyword-stuffing block of ~30 Romanian and English synonyms that consumes roughly the first third of the text. That block is search-SEO filler rather than instruction the agent needs, diluting structure.

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 small read-only lookup with no annotations, the description covers purpose, triggers, boundaries, and the returned fields (compensating for the absent output schema). Only auth/error behavior is unaddressed, which is a modest gap given the tool's simplicity.

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 100%, so the schema already documents id, name, limit, and offset including defaults and the diacritic-insensitive matching. The description largely restates this ('Caută după nume parțial (insensibil la diacritice) sau după ID'), adding little beyond the schema. Baseline 3 applies.

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?

States a specific verb (caută) and resource (nomenclatorul județelor României, 42 rows in `county`), and specifies the return shape `{id, name, slug, shortCode}`. It explicitly carves out its scope against the sibling `search_companies`, so an agent can distinguish the two without opening either schema.

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?

Provides a dedicated 'Când îl folosești' block with concrete trigger questions ('Ce județ are codul CJ?', 'Listează județele care încep cu B'), plus a negative boundary: to filter companies by county, use `search_companies` instead. When, when-not, and the alternative are all explicit.

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