Skip to main content
Glama

pbi_score_dashboard

Score your Power BI dashboard quality by evaluating model design, DAX efficiency, layout, and readability.

Instructions

Score dashboard quality across model, DAX, layout, and readability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extract_folderNo
include_hiddenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist. The description does not disclose whether the tool is read-only or modifies anything, nor does it mention side effects or required permissions. For a scoring tool, it likely is non-destructive, but this is not stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks structure and is too brief to convey necessary information. It earns its place but could be more detailed without being verbose.

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 two parameters and no required fields, plus an output schema exists (so returns are not needed in description), the description still fails to explain how the parameters affect scoring or what the output represents, leaving significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not mention or explain either parameter ('extract_folder', 'include_hidden'). The agent has no semantic clues to set them correctly.

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?

Description clearly states the tool scores dashboard quality across four specific dimensions (model, DAX, layout, readability). However, it does not differentiate from the sibling tool 'pbi_score_rubric', which may have a different scoring methodology.

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 on when to use this tool versus alternatives, no prerequisites or context provided. Agent has no hints on usage boundaries.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/imnotStealthy/powerbi-mcp-local'

If you have feedback or need assistance with the MCP directory API, please join our Discord server