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value-pro-mcp

Зафиксировать заявку (мягкая передача, без персональных данных)

create_lead

Фиксирует предварительную заявку БЕЗ персональных данных и возвращает ссылки для оформления: прямую ссылку в бот МАКС и заранее заполненную веб-форму. Контакт клиент оставляет сам по безопасному пути. Персональные данные через этот инструмент НЕ передаются.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNoЕдиниц повреждённого имущества (только ущерб)
loyalNoПостоянный клиент (−10%)
roomsNoПомещений (только ущерб от залива/пожара)
visitNoВыезд оценщика; для ущерба игнорируется (включён)
purposeNoЦель оценки (на цену не влияет, влияет на документы)
deliveryNoДоставка курьером в пределах МКАД (+700)
source_idNoМашинный идентификатор интеграции/кампании (НЕ ПД): [A-Za-z0-9._:-], до 64
service_idYesID услуги из list_services
print_countNoДоп. печатные экземпляры сверх включённого

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / description
      Previous value: -"create_lead = те же параметры расчёта + опциональный source_id.\nБЕЗ контакт-полей и БЕЗ free-text note (см. C2)."New value: +"Параметры заявки: те же поля расчёта + опциональный машинный source_id.\nБез контакт-полей и без свободного текста — персональные данные через MCP не передаются."
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It discloses key safety info (no personal data) and outcome (returns links), but lacks details on error behavior, idempotency, or return value structure. Additional context about soft transfer is helpful but incomplete.

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

Conciseness5/5

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

Two concise sentences, front-loaded with purpose and outcome. Every sentence adds value with no redundancy.

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?

For a tool with no output schema, description explains return value as links but lacks detail on structure or number of elements. Parameter descriptions are complete. Overall adequate for agent understanding, but return format could be clearer.

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

Parameters4/5

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

Schema coverage is 100% with parameter descriptions. The tool description adds value by emphasizing absence of contact fields and free text, reinforcing that personal data is not transmitted. This goes beyond schema-level info.

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

Purpose5/5

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

Description clearly states the tool creates a preliminary lead without personal data and returns links for completion. The verb 'Фиксирует' and resource 'предварительную заявку' are specific, and the tool is well-differentiated from siblings like 'calculate_price' or 'list_services'.

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

Usage Guidelines3/5

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

Description implies usage for soft lead capture without personal data, but does not explicitly state when to use this tool vs alternatives. No exclusions or comparisons to sibling tools are provided.

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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