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aytacmehmet

sap-cloud-erp

by aytacmehmet

Update Production Order

s4_production_order_update
Destructive

Update production order fields such as dates and quantity. Components and operations remain unchanged.

Instructions

Update fields on an existing production order (e.g. dates, quantity). Components/operations are not updatable via this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesFields to update
manufacturingOrderYesProduction/manufacturing order number
Behavior4/5

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

Annotations already indicate destructiveness and mutability. The description adds value by specifying that components/operations are not updatable, which is not covered by annotations. However, it does not elaborate on other behavioral traits such as authorization needs, partial vs. full replacement of fields, or side effects, which would merit a 5.

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 sentences with no wasted words. The first sentence succinctly states the purpose with examples, and the second adds a critical constraint. Perfectly front-loaded and efficient.

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

Completeness3/5

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

Given the tool's complexity (mutating a nested object) and no output schema, the description lacks information on return values, success/failure indicators, or side effects. While the context from sibling tools helps, the description itself is incomplete for an agent to fully understand the outcome.

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 schema covers both parameters fully (100% coverage). The description adds examples (dates, quantity) and a limitation (components/operations not updatable), which enriches understanding beyond the schema. This adds value beyond the baseline of 3.

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 updates fields on an existing production order, giving examples like dates and quantity. It explicitly mentions what is not updatable (components/operations), distinguishing it from sibling tools like s4_production_order_create, s4_production_order_release, and other S4 update tools.

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 updating production order fields but does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or restrictions beyond the components/operations limitation. The context is clear but not explicit.

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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