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INFATON MCP35

INFATON MCP35

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by infaton
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get_register_totals

Retrieve accumulation register balances and turnovers with dimension filters and resource selection for inventory or financial data.

Instructions

Получить итоги регистра накопления (остатки, обороты или и то и другое). Поддерживает отбор по измерениям и выбор ресурсов.

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>"
    },
    "name": "get_register_totals"
  }
}

Input Schema

NameRequiredDescriptionDefault
full_nameYesПолное имя регистра накопления (например: РегистрНакопления.ТоварыНаСкладах)
period_toNoКонец периода ISO 8601
resourcesNoРесурсы через запятую (пусто = все)
dimensionsNoОтбор по измерениям
period_fromNoНачало периода ISO 8601
balance_typeNoТип: balance, turnovers, balance_and_turnovers

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are given, so the description must carry full behavioral transparency. It mentions filtering and resource selection but does not disclose authorization requirements, side effects (likely read-only), or error handling. It provides basic but not deep behavioral context.

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?

The description is extremely concise: two short sentences that front-load the core purpose. Every word adds value, with no redundancy or filler.

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

Completeness3/5

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

Given no output schema, the description should explain return format, but does not. It hints at parameters but not how to use the nested 'dimensions' object. While adequate for basic understanding, it lacks completeness for full autonomous use.

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 has 100% coverage with descriptions for all 6 parameters. The description adds general context (e.g., 'filtering by dimensions') but does not significantly enhance meaning beyond the schema. Baseline 3 is appropriate.

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?

The description clearly states the tool's purpose: get totals of an accumulation register (balances, turnovers, or both). It specifies filtering by dimensions and selecting resources, distinguishing it from siblings like get_register_records which likely returns individual records.

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?

The description implicitly indicates this tool for aggregated totals rather than individual records, but lacks explicit guidance on when to use or not use it compared to alternatives. No usage examples or exclusions 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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