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parsee_create_group

Создаёт группу и сразу наполняет её. section: monitor (следить за карточками), compare (пары «моя ↔ конкурент»), spp (скидка постоянного покупателя). Для monitor: items — ссылки или артикулы. Для compare: pairs — [{mine, rival}]. Для spp: items — [{url, sent}], где sent — цена, переданная площадке; либо fromCabinet: true — тогда артикулы и цены возьмём прямо из кабинета WB.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
itemsNo
pairsNo
sectionYes
fromCabinetNo
vendorFilterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does disclose useful behavior: immediate population, section semantics, and the fromCabinet data-source fallback. It does not cover side effects, permissions, validation/error behavior, or how the group is represented in the system, which are significant for a mutating tool.

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?

The description is compact and front-loaded with the main action, then enumerates the section-specific payloads without filler. The dense one-paragraph layout could be slightly clearer as a short list, but every sentence earns its place.

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 six-parameter creation tool with no annotations, the description covers the core workflows and the required section parameter thoroughly, and an output schema is present for return values. The main remaining gap is the unexplained vendorFilter parameter and the lack of explicit alternative routing to sibling tools.

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 description coverage is 0%, and the description compensates for most parameters: section values, items for monitor, pairs for compare, items+url/sent and fromCabinet for spp. However, vendorFilter and name are not given any descriptive meaning.

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 states a specific verb and resource — 'Создаёт группу и сразу наполняет её' — and then distinguishes the three supported section modes, making the tool's scope clear versus sibling group-management tools.

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

Usage Guidelines4/5

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

It clearly tells the agent when to use this tool (creating a new populated group) and gives per-section payload advice for monitor, compare, and spp. It does not explicitly name sibling alternatives such as parsee_add_to_group, so it stops short of full when-not guidance.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools map cleanly to distinct resource/action pairs, and the descriptions explicitly point to complementary tools (e.g., browser_search → parse_urls → wait → get_results). The main ambiguity is the help/cloud_manual duplication and the similar price/result output of get_prices versus get_results.

Naming Consistency3/5

All tools share the parsee_ prefix and snake_case, and most follow a verb_noun pattern (create_group, get_results, set_region). However, several tools are noun-like (status, help, price_history, spp_changes, wb_cabinet) and browser_search reverses the verb_noun order, so the pattern is readable but not uniform.

Tool Count2/5

32 tools is a large surface for an MCP server, even for a broad parsing/monitoring domain. The count feels inflated because multiple cloud/help/documentation tools and several similar data-retrieval tools could be consolidated.

Completeness5/5

The tool set covers the full workflow: search/discovery, collection, task lifecycle, group management, analytics/history, scheduling, settings, export, and seller-cabinet integration. There are no obvious dead ends, and every operation has the supporting tool needed to act on its output.