Живые цены ветуслуг сети БиоВет из прайса (900+ позиций, одинаковы во всех клиниках). Поиск по названию услуги по-русски.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Услуга: «кастрация кота», «узи сердца», «вакцинация» |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It does reveal useful behavior: data is live, sourced from a fixed price list, uniform across clinics, and searched by Russian service name. However, it does not describe the return shape, match behavior, or what happens if no service is found, which are meaningful gaps without an 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?
The description is very concise and front-loaded: the first phrase states the core purpose, and the parenthetical adds scope. Every clause adds useful information with no redundancy or 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 simple one-parameter lookup tool, the description covers the key context: what data is used, its scope, and how to search. It could be more complete by mentioning the response format, but the tool name and phrase 'Живые цены' make the return value largely obvious.
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 100%, so the baseline is 3, but the description adds meaning beyond the schema by specifying that the query must be a Russian-language service name. This is a semantic constraint not present in the schema's property description.
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 clearly identifies the resource (veterinary service prices from the BioVet price list) and the action (get live prices), and adds useful scope details: 900+ items and uniform pricing across clinics. This makes it easy to distinguish from sibling tools like find_clinic or book_visit, which cover different tasks.
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 clearly implies the tool is for looking up current prices of veterinary services by Russian service name, and the 'same in all clinics' note tells users not to expect location-specific differences. It does not explicitly name alternatives or say when not to use it, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Each tool targets a distinct task: clinic lookup, slot availability, booking, prices, general health Q&A, food safety, and urgency triage. The health-related tools (ask_vet_kb, food_check, triage) have clearly separated purposes in their descriptions, so agent misselection is unlikely.
Most tools follow a verb_noun pattern (find_clinic, check_slots, book_visit, get_prices). food_check reverses the order and ask_vet_kb uses an abbreviation, creating minor inconsistencies, but the overall pattern is still readable and predictable.
Seven tools is well within the ideal range and each tool serves a necessary function in the pet-care workflow. The set is neither bloated nor too thin for a veterinary clinic assistant.
The main workflows are complete: clinic discovery, appointment booking, price lookup, and health/triage information are all covered. Missing appointment cancellation or modification is a minor gap but does not break the core service.