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haiprobmt

PBIP Builder MCP Server

by haiprobmt

schema_validate_json

Validate a JSON document against a specified Microsoft schema type to ensure it meets Power BI project requirements.

Instructions

Validate JSON against a locally available Microsoft schema type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaTypeYes
jsonNo
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 of behavioral disclosure. It only states 'validate' without explaining what happens on success or failure (e.g., returns true/false, throws error?), whether it has side effects, or any required permissions. This leaves the agent uncertain about the tool's behavior.

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 is under-specified. It could be expanded to include key details without being verbose, so conciseness is not fully beneficial.

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's simplicity (2 parameters, no output schema), the description should still cover basic aspects like the expected schema type format and validation result. The description is incomplete as it lacks information on output, error handling, and prerequisites. It does not provide enough for an AI agent to use the tool correctly.

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 description coverage is 0%, meaning no parameter descriptions exist in the input schema. The description adds no information about the parameters: it does not explain what 'schemaType' refers to (e.g., a name, ID, or path), nor what format the 'json' parameter expects. Both parameters are essentially undocumented, relying entirely on the tool name.

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 that the tool validates JSON against a locally available Microsoft schema type. It uses a specific verb ('Validate') and resource ('JSON against schema type'), and distinguishes from sibling validation tools by specifying 'locally available Microsoft schema type'. However, it does not fully differentiate from other schema-related tools, leaving some ambiguity.

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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives like schema_explain_error or schema_get, nor does it mention prerequisites or limitations. This is a significant gap given the large number of sibling tools.

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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