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ohneben

ohneben's Wafeq MCP

wafeq_item_units_of_measure_update

Idempotent

Update an existing item unit of measure in Wafeq to adjust conversion factors, costs, prices, and default sales or purchase settings, ensuring inventory records stay accurate.

Instructions

๐ŸŸก WRITE ยท updates data ยท Item Unit Of Measures ยท PUT /item-units-of-measure/{id}/

Update item unit of measure

Endpoint for updating an existing item unit of measure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyYesA ModelSerializer that takes additional arguments for "fields", "omit" and "expand" in order to control which fields are displayed, and whether to replace simple values with complex, nested serializations
idempotency_keyNoOptional idempotency key (sent as the X-Wafeq-Idempotency-Key header). A UUID v4 is generated automatically when omitted, so an automatic network retry can never duplicate this operation. Pass your own stable value to make a deliberate re-invocation safe as well.

Schema Changelog

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

  1. First observedv2.0.0

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already convey that this is a write, non-destructive, idempotent operation. The description adds only 'WRITE', 'updates data', and a PUT endpoint, offering little behavioral context beyond the annotations, such as PUT replacement semantics, validation side effects, or response behavior. No contradiction is present.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The emoji-prefixed summary line is compact and informative, but the following two sentences both restate the same idea. The description could be reduced to one sentence without losing content.

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?

For a mutation tool with a nested required body and no output schema, the description is sparse. It does not clarify the difference between this full update and the partial_update sibling, nor describe what a successful update returns or how missing optional body fields are treated. The agent must rely almost entirely on the schema and name.

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?

The description adds no parameter-level meaning, but the input schema already documents the body fields and idempotency_key clearly. With 67% schema description coverage and detailed nested field descriptions, the schema carries the semantic weight, so the description does not need to compensate.

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 states 'Endpoint for updating an existing item unit of measure', which clearly identifies the action and resource. It distinguishes the tool from create, retrieve, and destroy, though it does not differentiate it from the sibling partial_update tool.

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?

There is no guidance on when to use this full update over the sibling partial_update variant, and no context about prerequisites or typical use cases. The description only restates that it updates an item unit of measure, which is purpose, not usage direction.

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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