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ryanmichaeljames

Dataverse MCP Server

dataverse_get_form

Read-onlyIdempotent

Retrieve a Dataverse form's layout as a structured JSON object, converting raw FormXml into a readable tree of tabs, sections, and controls.

Instructions

Get a single Dataverse form's layout parsed as a structured JSON object.

Parses raw FormXml into a readable tabs → sections → controls tree so agents don't need to work with raw XML. Also returns formxml_backup (the raw XML string). Use dataverse_list_forms to discover form IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds value by explaining that the tool parses raw FormXml into a structured tree and returns raw XML backup, helping agents understand the output. No contradictions with annotations.

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 concise sentences, front-loaded with purpose, followed by transformation detail and usage guidance. No extraneous content; every sentence adds value.

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

Completeness5/5

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

Given the presence of an output schema and clear annotations, the description covers all essential aspects: what the tool does, how it transforms data, and how to discover form IDs. No gaps in 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?

Input schema already provides clear descriptions for both parameters (form_id with GUID example, dataverse_url with example). The tool description does not add further parameter details, but the schema coverage is high, so baseline 3 is appropriate.

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?

Clearly states it retrieves a single Dataverse form's layout parsed as structured JSON, distinguishing it from sibling tools like dataverse_list_forms which discover form IDs. The verb 'Get' and resource 'form layout' are specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells agents when to use this tool (to get parsed form layout instead of raw XML) and directs them to use dataverse_list_forms to discover form IDs, providing clear guidance on tool selection.

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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