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parsee_set_options

Меняет настройки перед сбором. Передавайте только то, что нужно изменить, остальное останется как было. Например: {"images": false, "reviews": true, "reviewsLimit": 200, "mode": "safe"}. Режим скорости: fast (быстрее, выше риск блокировки), opt (по умолчанию), safe (медленнее, бережнее). Отключение фото и отзывов заметно ускоряет сбор.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNo
modeNo
videoNo
imagesNo
reviewsNo
imageModeNo
questionsNo
sellerDataNo
deliveryMapNo
descriptionNo
imageQualityNo
reviewsLimitNo
categoryLimitNo
stripMetadataNo
questionsLimitNo
characteristicsNo
reviewsWithTextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full factual burden. It discloses that unmentionned settings are preserved, that this is a mutation of pre-collection settings, explains the three speed modes with risk tradeoffs, and notes the performance impact of disabling photos/reviews. It does not discuss persistence or permissions, but core side effects are covered.

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?

Three focused sentences: purpose, partial-update semantics with an example, and mode/performance guidance. No filler, with the most important information front-loaded.

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?

The tool has 17 optional parameters and no annotation coverage; the description explains overall semantics and a few settings, but not the complete set. An output schema exists, so return values need not be described, and the example helps, but the description is not fully complete for invoking every parameter with confidence.

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?

Schema description coverage is 0%, so the description must compensate. It defines the 'mode' enum values and gives an example with 'images', 'reviews', and 'reviewsLimit'. However, the other parameters are left to inference from their names, with no explicit semantics. This is only partial compensation.

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 opens with 'Меняет настройки перед сбором' — a specific verb ('changes'), a clear resource ('settings'), and a temporal scope ('before collection'). It also states the partial-update behavior, which separates it from the read-only sibling parsee_get_options.

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 gives clear context: call this to adjust collection settings in advance, and pass only the fields you want changed. It provides a concrete JSON example and speed-mode guidance. It does not explicitly name alternatives or exclusion cases, so it falls short of a 5.

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.