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INFATON MCP35

INFATON MCP35

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by infaton
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write_register_records

Write data directly to periodic and non-periodic information registers for contact info, currency rates, prices, and barcodes. Supports replace or add mode.

Instructions

Записать данные в регистр сведений напрямую. Поддерживает периодические и непериодические регистры. Для контактной информации, курсов валют, цен, штрихкодов.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "full_name": "<full_name>",
      "records": "<records>"
    },
    "name": "write_register_records"
  }
}

Input Schema

NameRequiredDescriptionDefault
periodNoПериод для периодических регистров (YYYYMMDD или ISO 8601)
recordsYesМассив записей. Каждая запись — объект с измерениями, ресурсами и реквизитами
replaceNoРежим замены: true — заменить по ключу, false — добавить (по умолчанию)
full_nameYesПолное имя регистра, например: РегистрСведений.КурсыВалют

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions 'direct' writing and support for periodic/non-periodic registers but omits details on permissions, atomicity, validation, or the impact of the 'replace' parameter. Critical transparency is lacking.

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?

Three sentences, each carrying distinct information: action, support scope, and examples. No redundancy. Efficient and front-loaded.

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

Completeness2/5

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

The tool involves 4 parameters, periodic/non-periodic semantics, and a replace mode, yet the description omits behavioral context such as how the replace flag works, error scenarios, or return values. Without output schema or annotations, this is insufficient for complete agent understanding.

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?

Input schema provides 100% coverage for 4 parameters with clear descriptions. The description adds value by listing example register types (exchange rates, prices) but does not significantly enhance understanding beyond schema defaults.

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?

The description clearly states the tool writes data to a register of information, specifies support for periodic and non-periodic registers, and lists example use cases. However, it does not explicitly differentiate from sibling write tools like create_object or update_object, though the register-specific focus is evident.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as get_register_records for reading or create_object for general object creation. The description merely states functionality without contextual usage advice.

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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