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Регуляторика РФ

list_regulations
Read-onlyIdempotent

Список отслеживаемых правил РФ для электромобилей (утильсбор, НДС, субсидия, импорт) со статусом и идентификатором для get_regulation. Звать первым на вопросы о сборах, растаможке и льготах. EN: Russian EV rules tracked (recycling fee, VAT, subsidy, import) with status and ids for get_regulation.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_regulations"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
termsYesУсловия использования данных (адрес)
regulationsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, closed-world and non-destructive behavior, so the description only needs to add chaining context. It does that by saying results carry status and identifiers consumable by get_regulation. It does not mention ordering or pagination, but with a fixed small rule set and an output schema that is a minor gap.

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

Conciseness3/5

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

Front-loaded and short, but the English sentence largely restates the Russian one, doubling length for a rule list. The guidance sentence is well placed, though the bilingual duplication is redundancy rather than added meaning.

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

Completeness5/5

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

An output schema exists and annotations carry the safety profile, so the description only had to say what is listed and when to call it — both are covered. Nothing an agent needs to invoke this zero-parameter listing is missing.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly signals a no-argument call by not mentioning any filters.

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?

States a specific verb and resource ('Список отслеживаемых правил РФ для электромобилей') and enumerates the covered domains (утильсбор, НДС, субсидия, импорт). It also distinguishes itself from the sibling get_regulation by explaining that this tool returns ids for that one.

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 explicit when-to-use guidance: 'Звать первым на вопросы о сборах, растаможке и льготах', positioning it as the entry point ahead of get_regulation. The agent knows both the triggering topics and the intended call order.

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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