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

No annotations are provided, so the description carries the full burden, and it does more than most: it discloses the legal provenance (KP 667/2022) and an explicit staleness/supersession risk, which is exactly the kind of trust signal an agent needs before citing the numbers. It omits return-format details (units, currency, whether bounds are inclusive), but the read-only nature of a fare-lookup tool is self-evident.

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?

Two sentences, with the substantive content front-loaded and the caveat trailing, which is the right ordering. The closing 'see the dataset note' is a dangling reference that consumes words without giving the agent an actionable path, a small deduction from an otherwise tight entry.

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 optional-parameter read tool with no output schema, the description compensates well by stating what the returned record contains (per-km bounds, first-4-km minimum fare), its regulatory source, and its possible obsolescence. The missing pieces are minor: no units/currency and no indication of whether historical versions of the tariff are available.

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%: the single zone_code enum is fully documented in the schema ('zona_1, zona_2 or zona_3; omit for all'). The description's phrase 'per zone' confirms the dimension being filtered but adds no format or default information beyond the schema, so the 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?

The description names the specific resource (ride-hailing motorbike fare limits per zone) and even enumerates the shape of the data: per-km lower and upper bound plus the minimum fare for the first 4 km. That is far more specific than a restatement of the name. It does not route against a sibling, but the sibling list contains no other fare/tariff tool, so differentiation was not required.

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 or when-not-to-use guidance, and no alternative tool is named. The only adjacent statement ('A 2026 decision may supersede it; see the dataset note') is a data-validity caveat, not usage routing, and the referenced 'dataset note' is not resolvable from the definition itself.

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