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neuratechcompany-ops

Kettu Marketplace Intelligence

WB Self-check (drift canary)

wb_selfcheck
Read-onlyIdempotent

Probes Wildberries API endpoints to verify critical structures for card, reviews, search, and basket queries. Detects structural drift before batch execution, returning success, drift, or inconclusive.

Instructions

Structural drift canary for WB (tri-state: success / drift_detected / inconclusive). Probes EVERY endpoint family the tools depend on:

  • card — card.wb.ru v4 (wb_card / wb_search enrich): critical fields + price extract.

  • reviews — feedbacks2.wb.ru pool (wb_reviews): texts + productValuation.

  • search_goods— search-goods.wildberries.ru (wb_search STEP 1): the id list must still be a non-empty list of recoverable ids on a broad evergreen query, else wb_search silently returns no_results.

  • root_basket — basket-NN.wbbasket.ru (wb_root_info): imt_id must resolve, else wb_root_info AND wb_reviews (indexed by imt_id) break.

Tri-state (audit 2026-06-01): an http!=200 / network error / OOS baseline is inconclusive (transport/baseline rot), NEVER drift. Only a reached-200 body whose parser-critical anchor is gone is drift. Run on demand before trusting a batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
checksNoPer-subcheck results.
statusNoOverall verdict: success, drift_detected, or inconclusive.
healthyNoWhether all checks are healthy.
connectorNoConnector name: wb.wb
process_idNoOS process id.
tool_countNoNumber of MCP tools registered on the server.
config_loadedNoWhether settings loaded successfully from env/defaults.
server_versionNoConnector server version.
server_started_atNoServer start timestamp (UTC ISO-8601).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.2

TDQS

A4.7/5.0
Behavior5/5

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

It goes well beyond the readOnly/idempotent annotations by explaining the tri-state semantics: transport/OOS issues are inconclusive, only reached-200 bodies with missing anchors are drift. It also discloses the exact endpoint dependencies and why their failure would propagate to wb_search, wb_root_info, or wb_reviews.

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 bullet-list structure is dense but every sentence earns its place: purpose, probed endpoints, dependent tools, failure interpretation, and invocation guidance. The most important tri-state result is frontloaded.

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?

Given that the tool takes no parameters and annotations already cover safety, the description is fully complete. It explains what is checks, how to interpret outcomes, and when to run it; an output schema can describe the technical return structure.

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 has no parameters, so the empty schema already covers parameter semantics completely. The description reinforces this by showing that the canary runs with no inputs and probes everything by itself.

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 purpose: a 'structural drift canary' for WB with a tri-state result. It differentiates this diagnostic from functional WB tools by naming the endpoint families it probes and the dependent tools that would break on drift.

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?

The description gives clear usage context: 'Run on demand before trusting a batch.' It does not explicitly name alternatives or exclusions, such as the other marketplace selfchecks, but the intended trigger scenario is clear.

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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