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rededis

dataverse-mcp-server

by rededis

create_entity

Create a new Dataverse table with specified attributes, including custom fields, ownership, and primary name.

Instructions

Create a new Dataverse table (entity) with specified attributes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
attributesNoAdditional attributes to create with the entity
descriptionNoTable description
display_nameYesDisplay name
logical_nameYesLogical name with publisher prefix (e.g. 'contoso_newtable')
ownership_typeNoOwnership type (default: UserOwned)
primary_attribute_nameNoLogical name for primary name attribute (default: '{prefix}_name')
display_collection_nameYesPlural display name
primary_attribute_display_nameNoDisplay name for primary name attribute (default: 'Name')
Behavior1/5

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

No annotations are provided, so the description carries the full burden. It only states that it creates a new table and gives no details about side effects, permissions, or whether existing data is affected. 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that is easy to read and front-loads the action and resource. It earns its place, though it could add a bit more context about intended use.

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?

For a complex tool with 8 parameters (including nested attribute definitions), no output schema, and no annotations, the description is too sparse. It does not mention behavior, prerequisites, or what the response contains, leaving the agent with insufficient context.

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?

The schema provides descriptions for all 8 parameters (100% coverage), so the description does not need to explain them. The phrase 'with specified attributes' maps to the attributes array but adds no new meaning beyond the schema.

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 action (Create) and the resource (a new Dataverse table/entity). It distinguishes from siblings like create_record (which creates records) by specifying 'table (entity)'.

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 is provided on when to use this tool versus alternatives, such as add_attribute or create_record. There is no mention of exclusions or prerequisites.

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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