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valderan

vvk-charts-mcp

by valderan

create_bar_chart

Create grouped or stacked bar charts from series data, with output as base64 or a saved file.

Instructions

Создаёт столбчатую диаграмму с поддержкой группировки и стекинга. Возвращает base64 изображение или путь к файлу.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesМассив серий данных
themeNoТема оформления
titleNoЗаголовок графика
widthNo
formatNobase64
heightNo
barmodeNogroup
x_labelNoПодпись оси X
y_labelNoПодпись оси Y
filenameNobar_chart
orientationNov - вертикальная, h - горизонтальнаяv
save_to_diskNoСохранять файл на диск в директорию из env OUTPUT_DIR
theme_presetNoНазвание базовой темы оформленияclean_light
Install Server

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations at all, the description carries the full disclosure burden. It usefully discloses the return form (base64 image or file path) and the grouping/steacking modes, but remains silent on the disk-write side effect exposed via save_to_disk/OUTPUT_DIR, theme preset behavior, and any error or edge-case semantics. Partial disclosure, so a 3 is fair.

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?

Two sentence, purpose front-loaded, output format second, zero filler. Every word earns its place, and the structure lets an agent grasp the core function within a second.

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 13 parameters, nested data series, 4 enums, and 8 sibling chart tools, a two-sentence description is thin. It does not explain when a bar chart fits the data, how theme_preset relates to the list_theme_presets sibling, whether the return is a path or base64 depending on save_todisk, or the side effect of writing to OUTPUT_DIR — and there is no output schema to fill those gaps.

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

Parameters3/5

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

Schema description coverage is 62%, so the schema already documents most parameters. The description adds meaning for two undocumented ones — 'grouping and stacking' maps to barmode and 'base64 или путь к файлу' maps to format/save_todisk — but it does not systematically cover width, height, filename, or the exact interplay of barmode and orientation. At mid coverage with partial compensation, the baseline 3 applies.

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 specifies a concrete verb-resource pair ('Создаёт столбчатую диаграмму' — creates a bar chart) and names distinctive capabilities (grouping and stacking) plus the return form. It distinguishes itself from chart-type siblings (line, pie, scatter, area) by virtue of the explicit chart type, though it never names a sibling 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 is given on when to choose a bar chart over create_line_chart, create_pie_chart, create_scatter_chart, or the terminal/dashboard variants. There are no exclusions, no alternatives named, and no data-shape heuristics; the only implied context is the сhart type itself, which the name already conveys.

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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