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design_report_page_from_requirements

Turns a natural language brief into a Power BI report page by combining visual suggestions with file I/O operations.

Instructions

Synthesize a PBIR page from an NL brief.

Composes viz/visual_suggester + python_report for actual file I/O.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefYes
paletteNookabe_ito
audienceNoexecutive
inspectorNo
page_nameNoOverview
pbip_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
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 of behavioral disclosure. It only hints at side effects with 'for actual file I/O' but does not explain whether it overwrites existing PBIR content, what happens to existing visuals, or what changes are made to the file system.

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 compact and front-loaded with the core capability. However, the second sentence introduces unclear internal component names ('viz/visual_suggester', 'python_report') without explanation, which reduces clarity despite the concise length.

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 tool with six parameters, no schema descriptions, and no annotations, the description is under-specified. An agent cannot determine the meaning or expected values of optional parameters, the effect of execution, or the conditions under which this tool should be preferred over related report-editing siblings.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not compensate. It references 'NL brief' and PBIR page context, which loosely maps to brief and pbip_path, but it says nothing about palette, audience, inspector, or page_name, leaving five of six parameters semantically unexplained.

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 first sentence clearly states the verb ('Synthesize'), the resource ('a PBIR page'), and the input ('an NL brief'), which distinguishes it from sibling tools like create_report_from_dataset or edit_report_visual. However, 'Synthesize' is slightly abstract, and the implementation note about 'viz/visual_suggester + python_report' is jargon-heavy and does not sharpen the core purpose.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as create_report_from_dataset or edit_report_visual. It names no preconditions, exclusions, or selection criteria, so an agent must infer suitable usage from the name alone.

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