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1orZero

z_ai_vision_mcp_server_clone

by 1orZero

Analyze Data Visualization

analyze_data_visualization

Analyze charts and dashboards to extract metrics, identify trends, detect anomalies, and understand implications. Supports custom image sources and analysis focus prompts.

Instructions

Analyze charts, graphs, and dashboards for metrics, trends, anomalies, and implications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
image_sourceYes
analysis_focusNo
Behavior2/5

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

Description omits behavioral details such as output format, required input quality, or side effects. Since no annotations exist, this gap is significant.

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?

Single sentence is concise but overly terse, sacrificing necessary detail. It is front-loaded but incomplete.

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 absence of annotations, output schema, and parameter descriptions, this description is insufficient for an agent to correctly invoke the tool. It lacks details on inputs and outputs.

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?

With schema description coverage at 0%, the description adds no meaning to the three parameters. It does not explain what 'image_source', 'prompt', or 'analysis_focus' mean or their expected values.

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 specifies the resource ('charts, graphs, and dashboards') and action ('analyze for metrics, trends, anomalies, and implications'). It differentiates from sibling tools like 'analyze_image' by focusing on data visualizations, though not explicitly.

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 like 'understand_technical_diagram' or 'analyze_image'. The description does not specify prerequisites or exclusion criteria.

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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