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vijayeshmt

SAP Digital Manufacturing (DMC) MCP Server

by vijayeshmt

query_dmc_downtimes

Retrieve equipment downtime events to track OEE and utilization. Filter by plant, resource, or reason code to analyze production losses.

Instructions

Specialized tool to query equipment/resource downtime events (DOWNTIME table) for OEE and utilization tracking. REQUIRED WORKFLOW: After fetching all records (paginating if needed) and analyzing/forecasting, 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 (e.g. "DOWNTIME_START_DATE_TIME ge 2026-05-20T00:00:00Z")
selectNoComma-separated properties to return
orderbyNoSorting criteria. Defaults to "LAST_UPDATED_AT desc".
resourceNoFilter by resource name/ID
reasonCodeNoFilter by reason code identifier (REASON_CODE_ID)
Behavior3/5

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

No annotations exist, so the description must cover behavior. It mentions pagination for fetching all records but lacks details on side effects, authentication, rate limits, or error handling. This is adequate but not comprehensive.

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: the first states purpose, the second provides workflow. It is concise, though the all-caps 'REQUIRED WORKFLOW' is somewhat intrusive but still earns its place.

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 no output schema, the description does not explain return values. It provides context for OEE tracking and the required workflow, but omits other details like error handling or edge cases. Adequate for a query tool with well-documented parameters.

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 baseline is 3. The description does not add meaning beyond the schema; parameters are well-defined in the schema itself.

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 equipment/resource downtime events for OEE tracking, using a specific verb ('query') and resource ('downtime events'), and distinguishes from sibling tools 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?

The description provides explicit workflow instructions: after fetching records and analyzing, the agent must compile findings and invoke send_report_to_teams. This guides when to use the tool and what to do next, though it does not specify when NOT 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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