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mafzaal

Dynamics 365 Finance & Operations MCP Server

by mafzaal

d365fo_create_entity_record

Create a new record in a D365 Finance & Operations data entity by specifying the entity's collection name and providing field values. Optionally return the complete created record.

Instructions

Create a new record in a D365 Finance & Operations data entity.

Args: entity_name: The entity's public collection name or entity set name (e.g., "CustomersV3", "SalesOrders", "DataManagementEntities") data: Record data containing field names and values return_record: Whether to return the complete created record profile: Optional profile name

Returns: Dictionary with creation result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
profileNodefault
entity_nameYes
return_recordNo
Behavior2/5

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

Minimal behavioral info beyond creation. No disclosure of side effects, idempotency, or required permissions. No annotations to supplement.

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?

Front-loaded with purpose, then structured Args list. Concisely describes parameters, though some text overhead is acceptable. No fluff.

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?

Lacks details on return value fields, error handling, and validation. No mention of constraints like uniqueness or required fields in data. Not complete for a create tool with moderate complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds meaning to all 4 parameters with examples (entity_name), clarifies data as 'Record data containing field names and values', and explains return_record and profile. Compensates for 0% schema description coverage.

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?

Clear verb+resource: 'Create a new record in a D365 Finance & Operations data entity.' Distinguishes from siblings like get, update, delete by specifying creation.

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 on when to use this tool vs. alternative tools (get, update, delete). Does not mention prerequisites or context.

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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