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SAP MCP Server – lokale Variante

SAP MCP Server – lokale Variante

by Josia-WIAG

Execute Entity Operation

execute-entity-operation

Performs read, create, update, and delete operations on SAP entities using precise OData queries and filters; requires authentication. Use natural-query-builder for natural language queries.

Instructions

Direct CRUD operations on SAP entities with precise OData queries. For natural language queries, use natural-query-builder first. Requires authentication.

Input Schema

NameRequiredDescriptionDefault
operationYesThe operation to perform
serviceIdYesThe SAP service ID
entityNameYesThe entity name within the service
parametersNoEntity keys or write data; for reads on CDS queries, pass the required CDS parameters here (e.g. P_ExchangeRateType and P_DisplayCurrency).
queryOptionsNoOData query options (for read operations)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.5/5.0
Behavior2/5

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

No annotations, so the description carries the full burden. It discloses only 'Requires authentication' and 'direct' execution, saying nothing about which operations are destructive (create/update/delete), whether changes are reversible, what permissions are needed beyond auth, or how errors surface. For a tool that spans five operations including deletion, this is a significant gap.

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?

Three short sentences, front-loaded with the primary capability followed by the sibling redirect and the auth prerequisite. No filler or restatement of the title.

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?

Adequate but thin for a five-parameter, five-operation tool with no annotations and no output schema. The schema covers inputs well, but nothing explains what read vs read-single returns or what preconditions create/update/delete impose on serviceId and entityName.

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% and the schema itself documents serviceId, entityName, the operation enum, the parameters bag with CDS examples, and each query option. The description adds no parameter meaning beyond that, so baseline 3 applies.

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?

States a specific verb and resource ('Direct CRUD operations on SAP entities') plus the mechanism ('precise OData queries'), and explicitly names the natural-language path as a different tool. It does not distinguish itself from siblings like get-entity-schema or discover-service-entities, but the core purpose is unambiguous.

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?

Gives one explicit routing rule with its condition: 'For natural language queries, use natural-query-builder first.' That is genuine when-to-use guidance, though it offers no exclusions or guidance relative to the schema-discovery and service-search siblings an agent would likely need before calling this.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.