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BACH-AI-Tools

BachStudio Teradata MCP Server

by BACH-AI-Tools
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

plot_polar_chart

Generates a polar area chart from a Teradata table, using labels and a numeric column to visualize data distribution in a circular format.

Instructions

Function to generate a polar area plot for labels and columns. Columns mentioned in labels are used as labels and column is used to plot.

PARAMETERS: table_name: Required Argument. Specifies the name of the table to generate the donut plot. Types: str

labels:
    Required Argument.
    Specifies the labels to be used for the line plot.
    Types: str

column:
    Required Argument.
    Specifies the column to be used for generating the line plot.
    Types: str

RETURNS: dict

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
labelsYes
columnYes

Tool Definition Quality

C2.3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions generating a plot but does not state read-only nature, required permissions, side effects, or impact on data.

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

Conciseness2/5

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

The description includes a parameter list that redundantly echoes the schema with 'Required Argument' and types. It is not concise and contains unnecessary repetitions (e.g., 'line plot').

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 no output schema and a specialized plotting tool, the description is incomplete. It omits input format specifics, output structure, and fails to address potential errors or limitations.

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?

With 0% schema coverage, the description should add meaning beyond parameter names. It only repeats 'labels' and 'column' with minimal clarification ('Columns mentioned in labels...'), lacking details on expected format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'generate a polar area plot', identifying the verb and resource, but it also mentions 'donut plot' and 'line plot', causing confusion. It does not effectively differentiate from sibling tools like plot_pie_chart or plot_radar_chart.

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 provided on when to use this tool versus alternatives. There is no discussion of prerequisites, context, 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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