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ghostiee-11

holoviz-viz-mcp

by ghostiee-11

execute_code

Craft advanced visualizations with linked selections, overlays, and custom widgets by running arbitrarily complex HoloViews/Panel code. Assign the output to result.

Instructions

Execute arbitrary hvPlot/HoloViews/Panel code and return the result.

This is the power-user escape hatch for visualizations that go beyond the structured tools — linked selections, overlays, custom widgets, etc.

The code must assign the final visualization to a variable named result. Available in scope: pd, np, hv, hvplot, pn, and any loaded datasets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code that produces a HoloViews/Panel object in `result`
dataset_nameNoOptional dataset to make available as `df`

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description carries full burden. It mentions code constraints and available imports but omits safety, destructive potential, rate limits, or error handling for arbitrary code execution.

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

Conciseness5/5

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

Three sentences, front-loaded with main purpose, no wasted words. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema exists, so return values handled. However, description lacks critical behavioral details for a powerful tool like code execution (e.g., security, timeout, side effects). Adequate but gaps remain.

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

Parameters4/5

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

Schema coverage is 100% (baseline 3), but description adds valuable context: for 'code' it defines expected output variable and available libraries, and for 'dataset_name' it explains making data available as 'df'.

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 uses specific verb 'Execute' and resource 'arbitrary hvPlot/HoloViews/Panel code', and distinguishes itself from siblings by labeling it a 'power-user escape hatch' for beyond structured tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use (for linked selections, overlays, custom widgets) but does not explicitly state when not to use or list alternatives, leaving room for improvement.

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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