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aytacmehmet

sap-cloud-erp

by aytacmehmet

Create Production Operation Confirmation

s4_production_operation_confirmation_create
Destructive

Post an operation-level confirmation for a production order operation by providing order ID, operation number, yield quantity, and unit.

Instructions

Post an operation-level ('time ticket') confirmation for a single operation of a production order. Required: orderID, orderOperation, sequence, confirmationYieldQuantity, confirmationUnit. A production order cannot mix order-level and operation-level confirmations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderIDYesProduction order number
sequenceNoSequence number, default '0'0
workCenterNoWork center where the operation was performed
postingDateNoPosting date, ISO format 'YYYY-MM-DD'
orderOperationYesOperation number within the order, e.g. '0010'
additionalFieldsNoExtra fields merged into the request body as-is
confirmationUnitYesUnit of measure, e.g. 'EA'
isFinalConfirmationNoWhether this is the final confirmation for the operation
confirmationScrapQuantityNoScrap quantity, if any
confirmationYieldQuantityYesConfirmed yield quantity, e.g. '10'
Behavior3/5

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

Annotations already mark the tool as destructive and not read-only. The description adds the constraint about mixing confirmation levels but does not disclose what gets destroyed or the effect of overwriting existing data. It does not contradict annotations, but more behavioral context would be helpful for a write operation with destructive hint.

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 extremely concise: two sentences with no filler. The core purpose is front-loaded, and every word adds value.

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?

The tool has 10 parameters, 4 required, and no output schema. The description does not mention what the response contains (e.g., created confirmation ID) or any error conditions. Given the complexity, more completeness is needed for an AI agent to use the tool correctly.

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 the schema fully documents each parameter. The description lists required fields, reinforcing them and adding the context of the mixing-constraint, but adds no new information about parameter formats or behaviors beyond the schema.

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 verb 'Post' and the resource 'operation-level confirmation for a single operation of a production order'. It also lists required fields and explicitly distinguishes from order-level confirmations, differentiating it from sibling tools like s4_production_order_confirmation_create.

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

Usage Guidelines4/5

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

The description indicates when to use the tool (for operation-level time tickets) and provides a constraint ('cannot mix order-level and operation-level confirmations'). However, it does not explicitly name an alternative tool for order-level confirmations, though it is implied by the context.

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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