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ryanmichaeljames

Dataverse MCP Server

dataverse_retrieve_user_privileges

Read-onlyIdempotent

Retrieve all security privileges assigned to a Dataverse system user via their roles, returning privilege names and depth.

Instructions

Retrieve all security privileges assigned to a system user via their roles.

Returns RolePrivilege objects with PrivilegeName and Depth. Use dataverse_whoami to get the caller's UserId for checking your own privileges.

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 declare readOnlyHint=true and idempotentHint=true. The description adds that the tool returns RolePrivilege objects with PrivilegeName and Depth, and that privileges come via roles. This provides additional behavioral context beyond the annotations, but does not cover potential side effects or authentication requirements.

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?

The description is three sentences long, front-loaded with the core purpose, followed by output details and a usage hint. Every sentence adds value with no redundancy or fluff.

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?

Given that an output schema exists (implied), the description adequately covers what the tool does, what it returns, and how to obtain the required user ID. It lacks discussion of permission requirements or pagination, but these are minor given the tool's simplicity and the presence of annotations.

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 tool description does not mention any parameters; however, the input schema provides clear descriptions for both user_id and dataverse_url. Since schema coverage is high (100% for the two parameters), the description adds no extra parameter semantics, earning a baseline score of 3.

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 retrieves all security privileges assigned to a user via their roles. It specifies the resource and action distinctly from sibling tools like dataverse_get_user or dataverse_audit_user_access. The mention of returning RolePrivilege objects reinforces its purpose.

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

Usage Guidelines4/5

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

The tool provides a usage tip to use dataverse_whoami to get the caller's UserId, which guides when to use this tool. However, it does not explicitly exclude alternatives or state prerequisites, leaving some gaps for an AI agent to infer 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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