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vintrace MCP by usefulapi

List bulk intakes

vintrace_list_bulk_intakes
Read-only

List bulk wine/juice intakes (wine bought or received in bulk) with batch, volume, owner and cost. Reply: results plus next_offset. GET /v7/operation/bulk-intakes.

Input Schema

NameRequiredDescriptionDefault
limitNoResults per page, 1-200 (vintrace default 10).
offsetNoIndex of the first result (default 0). Pass the previous reply's offset + limit.
modified_sinceNoOnly records modified after this time.
modified_beforeNoOnly records modified before this time.
purchase_referenceNoExact purchase reference (sent to vintrace as eq:<reference>).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds genuinely new context: the reply is "results plus next_offset" and the underlying call is GET /v7/operation/bulk-intakes, which tells the agent the result is paginated and how to continue. No rate limits or field-level return detail, but that is beyond the annotation bar.

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?

Two tight sentences: the first front-loads purpose and included fields, the second front-loads the response contract. No filler, no repetition of the title.

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?

With no output schema, the description must carry the return contract, and it does so at a high level (results plus next_offset). Field-level shape is only loosely described (batch, volume, owner, cost) and pagination defaults are left to the schema, so a small gap remains but the essential call-and-continue information is present.

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 100%, and each parameter already documents its meaning, defaults and pagination convention (offset = previous offset + limit). The description adds nothing about parameters, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("List bulk wine/juice intakes") and clarifies the domain concept with a parenthetical gloss plus the attributes returned (batch, volume, owner, cost). This clearly distinguishes it from list-type siblings like list_wine_batches or search_fruit_intakes, though it never names an alternative explicitly.

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

Usage Guidelines2/5

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

No guidance on when to choose this tool over adjacent ones such as vintrace_search_fruit_intakes or vintrace_list_wine_batches, and no mention of prerequisites or filtering strategy. The agent must infer usage entirely from the name and the parameter list.

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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