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vintrace MCP by usefulapi

List brand allocations

vintrace_list_brand_allocations
Read-only

List brand allocations of bulk wine (how much of a wine is promised to which brand), by status and vintage. Reply: results plus next_offset. GET /v7/allocations/brand-allocations.

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.
statusNoAllocation status.
vintageNoVintage year.
modified_sinceNoOnly records modified after this time.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With readOnlyHint=true and destructiveHint=false already present, the safety profile is covered by annotations. The description adds useful pagination behavior ('Reply: results plus next_offset') and the underlying GET endpoint, but it does not disclose rate limits, auth requirements, or result field structure.

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 description is three tight sentences with no wasted words. The core scope is front-loaded, followed by the return shape and endpoint, making it easy to parse.

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?

The tool has no output schema, but the description covers the essential return behavior ('results plus next_offset') and all parameters are fully documented in the schema. Annotations cover safety, so the definition is nearly complete for a read-only list tool, though it does not describe the fields inside each allocation result.

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%, so all five parameters are already documented in the input schema. The description repeats 'status and vintage' but adds no parameter syntax, defaults, or meaning beyond what the schema provides, so the baseline of 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?

The description clearly states a specific verb and resource: 'List brand allocations of bulk wine.' It also explains the domain concept ('how much of a wine is promised to which brand'), but it does not explicitly distinguish this tool from sibling list tools such as vintrace_list_bulk_intakes or vintrace_list_wine_batches.

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?

Usage is implied by 'by status and vintage,' which signals available filtering dimensions. However, the description gives no explicit when-to-use guidance, exclusions, or alternatives relative to the many sibling list/get tools.

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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