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Kenny-666

Dynamics 365 MCP Server

by Kenny-666

create_new_record

Destructive

Adds a native Dataverse/Dynamics 365 record from JSON data, with optional dry-run preview and separate confirmation that the save succeeded before relying on the returned ID.

Instructions

Create a native record. Accepts returned entity/ID headers or a supplied primary key, reports confirmed save separately from ID availability. dry_run previews without writing.

Input Schema

NameRequiredDescriptionDefault
dataYesNative JSON attribute data. Related bindings must stay inside the configured organization API. Local JSON limit 10 MiB.
dryRunNoCompatibility alias for dry_run. Conflicting aliases are rejected.
dry_runNoRead-only preview of environment, target, changes and write blockers. Default false; sensitive fields are masked.
collectionNameNoCompatibility alias for collection_name. Conflicting aliases are rejected.
collection_nameNoNative EntitySetName, such as accounts. Validated against table metadata.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare destructive=true and idempotent=false, so the safety profile is covered. Beyond that, the description adds genuine context: accepts returned entity/ID headers or a supplied primary key, reports confirmed save separately from ID availability, and dry_run previews without writing — behavior an agent could not read from annotations alone.

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?

Three short sentences, front-loaded with the create action, then the ID-handling nuance, then the dry_run preview. Slightly telegraphic phrasing ('Accepts returned entity/ID headers') borders on ambiguity but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a write tool with no output schema, the description usefully pre-announces return behavior ('reports confirmed save separately from ID availability') and the dry_run escape hatch. It leaves required data/collection_name requirements to the schema, which is fair given 100% coverage, but a note on validation failure behavior would complete it.

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 the schema itself documents data, dry_run, and the collection_name/collectionName alias pair thoroughly. The description only gestures at 'a supplied primary key' and dry_run and adds no syntax or constraint detail beyond what the schema already provides; baseline 3 is appropriate.

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?

The description states a specific verb and resource ('Create a native record') and the schema clarifies the target as a native entity set such as 'accounts'. It distinguishes reasonably well from model-metadata siblings (create_model_table, create_model_key) by working on records rather than schema, though it never explicitly contrasts with the closely named sibling upsert_record_by_key.

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 explains what dry_run does, which implies when to preview, but it never states when to use this create vs. alternatives like upsert_record_by_key or execute_record_batch. The agent must infer create-vs-upsert semantics from the tool names alone.

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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