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submit_inquiry

Отправить заявку (банкет / корпоратив / группа / бронь) команде ресторана. Вызывать ТОЛЬКО если человек сам просит связаться, назвал имя и телефон и согласился на обработку персональных данных (consent_personal_data=true) - без согласия заявка не принимается. Ресторан перезвонит. Send an inquiry; needs explicit personal-data consent (152-FZ).

Input Schema

NameRequiredDescriptionDefault
dateNoЖелаемая дата или период (текст, например '2026-12-18').
nameYesИмя контактного лица.
typeYesВид заявки: banquet (банкет), corporate (корпоратив), group (группа), reservation_request (запрос на бронь).
phoneYesТелефон для связи, например +7 999 123-45-67.
guestsNoПримерное число гостей (1-200).
messageNoДетали: повод, пожелания, бюджет (до 1000 символов).
company_websiteNoАнтиспам-ловушка. ОСТАВЬТЕ ПУСТЫМ. Никогда не заполняйте.
consent_personal_dataYesЯвное согласие гостя на обработку персональных данных (152-ФЗ). Ставьте true ТОЛЬКО если гость сам согласился; иначе заявка отклоняется.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it does disclose the key behavior: consent is a hard gate ('без согласия заявка не принимается'), and the outcome is a callback from the restaurant. Legal basis (152-FZ) is surfaced. It does not cover idempotency, duplicate submissions, or what a rejection looks like to the caller, which keeps it below 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The critical gate is front-loaded in the first two sentences and the callback outcome follows immediately; every sentence is load-bearing. The trailing English sentence is largely a translation of the preceding Russian text, which is mild redundancy rather than noise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 8 parameters (4 required) and no output schema, the description supplies the two things an agent most needs that structured fields cannot: the consent prerequisite and the fact that submission triggers a phone callback rather than an immediate booking. Remaining gaps are minor (no note on duplicate prevention or failure response shape).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, including the enum values, phone format and the company_website honeypot warning, so the schema already does the heavy lifting and baseline 3 applies. The description restates the consent gate rather than adding syntax or format detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Отправить заявку ... команде ресторана') and enumerates the four inquiry kinds, so an agent immediately knows this is the sole outbound/submission action. It does not name any sibling, but since every sibling is a read-only get_*/search_* tool, the differentiation is still unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit hard precondition chain: call ONLY if the person asked to be contacted, provided name and phone, and consented to personal-data processing; states the request is rejected without consent. That is a when-to-use rule plus a when-not-to-use consequence, not an implied one.

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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