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INFATON MCP35

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get_register_records

Retrieve register records by dimension filters and date range. Supports information, accumulation, and accounting registers.

Instructions

Получить записи регистра с фильтрацией по измерениям и периоду. Работает с регистрами сведений, накопления и бухгалтерии.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
full_nameYesПолное имя регистра, например: РегистрСведений.КурсыВалют
filterNoJSON-объект фильтра по измерениям (необязательно)
period_fromNoНачало периода YYYYMMDD (необязательно)
period_toNoКонец периода YYYYMMDD (необязательно)
limitNoКоличество записей (по умолчанию 100)
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for disclosing behavioral traits. It does not mention authorization needs, rate limits, pagination, error conditions, or any side effects. The description only states the action and supported register types, leaving significant behavioral gaps.

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 consists of two concise sentences. The first sentence clearly states the primary action and filtering capabilities, and the second adds supported register types. There is no extraneous information, and it is front-loaded with the key purpose.

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 the tool has 5 parameters and no output schema, the description is moderately complete. It explains what the tool does and its domain (register types), but it does not describe the return format, pagination behavior, or any constraints. Without an output schema, the description should ideally cover the output structure.

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?

The input schema has 100% coverage with descriptions for each parameter. The description does not add any additional meaning beyond what the schema already provides, so it meets the baseline but offers no extra value for parameter understanding.

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 retrieves register records with filtering by dimensions and period, and specifies which register types are supported (information, accumulation, accounting). This is specific and distinguishes it from sibling tools like get_register_dimensions.

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 implies usage for retrieving records from specified register types with optional filters, but it does not explicitly state when to use this tool over alternatives or provide conditions for avoidance. No exclusions or alternative tool names are mentioned.

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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