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vijayeshmt

SAP Digital Manufacturing (DMC) MCP Server

by vijayeshmt

query_dmc_order_schedules

Query production schedules and operational execution logs by plant, manufacturing order, resource, or workcenter for analysis and reporting.

Instructions

Specialized tool to query production schedules and operational execution logs (ORDER_SCHEDULE table). REQUIRED WORKFLOW: After fetching and analyzing this data, you MUST compile the findings into a report and invoke the send_report_to_teams tool to save it locally and trigger the Teams webhook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoNumber of records to fetch. Defaults to 100.
skipNoNumber of records to skip. Defaults to 0.
plantNoPlant code. Allowed values: "VIJ_01", "M205". Defaults to "VIJ_01".
filterNoAdditional OData filter expression to combine
selectNoComma-separated properties to return
orderbyNoSorting criteria. Defaults to "LAST_UPDATED_AT desc".
mfgOrderNoFilter by Manufacturing Order ID, e.g. "120"
resourceNoFilter by executing resource
workcenterNoFilter by workcenter name
Behavior2/5

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

No annotations provided; description does not disclose behavioral traits such as side effects, rate limits, authorization requirements, or whether it is read-only, leaving the agent uninformed about safety and constraints.

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

Conciseness4/5

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

The description is short and front-loaded with purpose, but the required workflow instruction adds some length; still efficient overall.

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 9 parameters, no output schema, and no annotations, the description covers the tool's core function and mandatory workflow but lacks context on return format, pagination behavior, or comparison to similar query tools.

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?

All 9 parameters have descriptions in the schema (100% coverage), so the description adds no extra detail about them; baseline score of 3 is appropriate.

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?

Explicitly states it queries production schedules and the ORDER_SCHEDULE table, distinguishing it from siblings like query_dmc_orders.

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?

Provides a REQUIRED WORKFLOW mandating compilation of findings into a report and invocation of send_report_to_teams, offering clear post-use guidance, though it does not discuss when to use this tool over similar siblings.

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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