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rededis

dataverse-mcp-server

by rededis

create_relationship

Create a relationship between two Dataverse entities by providing type, primary and related entities, and schema name. Supports One-to-Many and Many-to-Many with optional lookup attributes.

Instructions

Create a relationship between two Dataverse tables

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesRelationship type
lookup_nameNoLogical name for lookup attribute (OneToMany only)
schema_nameYesUnique schema name for the relationship
primary_entityYesPrimary (referenced) entity logical name
related_entityYesRelated (referencing) entity logical name
lookup_display_nameNoDisplay name for lookup attribute (OneToMany only)
Behavior1/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only says 'Create a relationship,' which implies mutation but does not describe side effects, permissions, reversibility, or validation behavior. For a write operation, this is a significant transparency 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, well-structured sentence with no filler. It is front-loaded and concise, though it is extremely minimal and could benefit from slightly more detail without sacrificing conciseness.

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?

The tool has 6 parameters (4 required) and no output schema or annotations, but the description provides only a one-line purpose. It does not explain relationship types, prerequisites, side effects, or what happens on success/failure. This is incomplete for an agent to fully understand the tool's behavior.

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 description coverage is 100%, meaning every parameter has its own description within the input schema. The tool description adds no parameter-specific meaning beyond the overall context, so the baseline score of 3 applies.

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's purpose: 'Create a relationship between two Dataverse tables.' This uses a specific verb ('create') and resource ('relationship between two Dataverse tables'), distinguishing it from sibling tools like create_entity or add_attribute, which create different types of metadata.

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, nor are there any exclusions or prerequisites mentioned. The description only states what the tool does, offering no contextual decision-making information.

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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