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haiprobmt

PBIP Builder MCP Server

by haiprobmt

model_validate

Validate the semantic model within a Power BI Project folder to confirm its structure and integrity.

Instructions

Validate the semantic model in the context of the PBIP project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathYes
Behavior2/5

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

Without annotations, the description must convey behavioral traits. 'Validate' implies non-destructive check, but no details on output, side effects, or requirements are given.

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, but it is too sparse, missing critical details. While concise, it sacrifices necessary information.

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?

For a validation tool with no output schema, the description lacks completeness: it does not explain return value, error format, or validation scope.

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 has 0% description coverage, and the description does not mention the 'projectPath' parameter, leaving its meaning entirely unclear.

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 validates the semantic model in a PBIP project, distinguishing it from sibling tools like pbip_validate_project or blueprint_validate.

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 vs alternatives like pbip_validate_project or blueprint_validate. No prerequisites or context provided.

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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