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juancaja2025

mcp-powerbi-personal

by juancaja2025

Listar datasets

list_datasets

Retrieve datasets (semantic models) in a specific Power BI workspace by providing the workspace ID to identify available models.

Instructions

Lista los datasets (modelos semanticos) de un workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdYesID del workspace

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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 the action without disclosing whether it is read-only, any permissions required, pagination behavior, or the return format. This is a significant gap for a list operation.

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 a single, concise sentence with no wasted words. It is appropriately sized for the tool's simplicity.

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?

Given the tool has no output schema and no annotations, the description is too sparse. It fails to mention what the tool returns (e.g., a list of dataset IDs), whether it is read-only, or any usage context. For a list tool with one parameter, more context would be expected.

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 has 100% coverage for the single parameter workspaceId, and the description reiterates the workspace scope. The description adds no additional meaning beyond the schema, so the baseline of 3 applies.

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 clearly states a specific verb 'lista' (lists) and a resource 'datasets (modelos semanticos)' of a workspace. It is clear what the tool does, but it does not explicitly differentiate from sibling tools like list_reports or list_report_pages, though the resource type is distinct enough.

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?

There is no guidance on when to use this tool versus alternatives. No mention of scenarios, prerequisites, or exclusions. The agent must infer usage from the name and siblings, which is insufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.