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woyaxnini

@woyax/mcp-chestnyi-znak

by woyaxnini

Get Virtual Warehouse Balance

chz_warehouse_balance

Retrieve virtual warehouse balance of marking codes on hand for a product group. Use filters in a JSON body to get precise stock levels from the Chestnyi Znak system.

Instructions

Get virtual warehouse balance (marking codes on hand) for a product group. Pass a JSON body with filter criteria. Endpoint: POST /api/v3/true-api/warehouse/balance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pgYesProduct group code
bodyYesFilter body as JSON object
Behavior2/5

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

No annotations are present, so the description carries full burden. It only states the basic function and endpoint, omitting side effects, auth needs, error behavior, or return structure. This is insufficient for understanding the tool's full behavioral profile.

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 concise with two sentences front-loading the purpose. The inclusion of the HTTP endpoint is slightly extraneous for an AI agent but does not significantly bloat the text.

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

Completeness2/5

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

Given no output schema and a nested object parameter, the description lacks detail on return values, filter constraints, and valid product group codes. It leaves many contextual gaps for an AI agent to resolve.

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 coverage is 100% with descriptions for both parameters. The description adds context ('for a product group' and 'filter criteria') but does not elaborate on valid filter structures. Baseline of 3 is appropriate as the schema already provides essential 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 clearly states the tool gets a virtual warehouse balance (marking codes on hand) for a product group, which is a specific verb-resource combination. It implicitly distinguishes from sibling chz_balance_all by narrowing to a product group.

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 a specific product group but does not explicitly state when to use this tool over siblings like chz_balance_all. No when-not-to-use or alternative guidance is provided.

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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