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vijayeshmt

SAP Digital Manufacturing (DMC) MCP Server

by vijayeshmt

get_order_details

Retrieve full details of a production order by order number. Provides plant-specific information for manufacturing analysis.

Instructions

Get full details of a specific production order by order number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderYesOrder number/ID
plantNoPlant code. Allowed values: "VIJ_01", "M205". Defaults to "VIJ_01".
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only mentions 'Get full details', which implies a read operation, but does not explicitly state read-only behavior, authentication requirements, rate limits, or any side effects. The description is insufficient for an agent to understand the tool's safety profile.

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 a single, concise sentence that immediately conveys the tool's purpose. It is front-loaded with the action and resource, and contains no redundant or unnecessary words.

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 is a simple retrieval with two well-documented parameters and no output schema, the description is minimally adequate. However, it lacks any indication of what the full details include, pagination, or return structure. For a production order tool, additional context about the data returned would be helpful.

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 coverage is 100%, so the input schema already describes both parameters ('order' and 'plant') with their types and constraints. The description adds no additional semantics beyond confirming the tool uses an order number. The baseline of 3 is appropriate as the schema carries most of the information.

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 the action ('Get full details'), the resource ('production order'), and the identifier ('by order number'). It distinguishes from sibling tools like 'get_production_orders' which is likely a list. However, 'full details' is vague, lacking specifics on what fields are returned.

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 is provided on when to use this tool versus alternatives like 'query_dmc_orders'. There is no mention of prerequisites, context, or scenarios where this tool is preferred. The description only states what it does, not when or why to use it.

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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