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vijayeshmt

SAP Digital Manufacturing (DMC) MCP Server

by vijayeshmt

query_dmc_materials

Query material master definitions for products, assemblies, and components in SAP DMC to support manufacturing analysis and report generation.

Instructions

Specialized tool to query material master definitions (MATERIAL table) for products, assemblies, and components. 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.
typeNoFilter by material type, e.g. "MANUFACTURED", "PURCHASED"
plantNoPlant code. Allowed values: "VIJ_01", "M205". Defaults to "VIJ_01".
filterNoAdditional OData filter expression to combine
selectNoComma-separated properties to return
statusNoFilter by status (e.g. CURRENT, DELETED)
orderbyNoSorting criteria. Defaults to "LAST_UPDATED_AT desc".
materialNoFilter by material name/number, e.g. "01_SUB_ASSY_COMP"
Behavior3/5

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

No annotations are provided. The description mentions the required post-query action (compile and send report) but lacks details on rate limits, data freshness, permissions, or side effects of the query itself.

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 two sentences, concise and front-loaded. The first sentence clearly states purpose; the second adds workflow context. No wasted words.

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?

With 9 parameters, no output schema, and no annotations, the description is insufficient. It does not explain pagination, filtering behavior, or the structure of returned data beyond implying it's from the MATERIAL table.

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 all parameter meanings are already in the schema. The description adds no parameter-level details beyond what the schema provides.

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 queries material master definitions (MATERIAL table) for products, assemblies, and components. It is specific and distinct from sibling tools like query_dmc_boms or 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 Guidelines3/5

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

The description provides a required workflow (compile and send report) but does not explicitly guide when to use this tool vs. alternatives or when not to use it. No exclusion criteria are given.

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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