plot_radar_chart

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

With no annotations, the description should disclose behavioral traits (e.g., safety, side effects). It only states 'Function to generate a radar plot' and returns a dict, offering no insight into read/write behavior, data requirements, or constraints.

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

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

The description is reasonably compact but includes redundant parameter documentation already present in the schema. The purpose is front-loaded, but the structure could be tighter.

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

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

Given the tool's simplicity, the description lacks important context: no explanation of what a radar chart is, data prerequisites, or expected output format beyond 'dict'. Without annotations or output schema, this is insufficient.

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

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

Schema coverage is 100%, but descriptions are poor: they repeat 'Required Argument' and contain errors (e.g., 'donut plot' for table_name, 'line plot' for labels and columns). The main description adds no meaningful detail beyond the schema.

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

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

The description states the tool generates a radar plot for labels and columns, which is clear. However, it contains confusing phrasing like 'Columns mentioned in labels are used as labels' and copy-paste errors referencing 'donut plot' and 'line plot', reducing clarity.

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

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 sibling plotting tools like plot_line_chart, plot_pie_chart, or plot_polar_chart. The description provides no context for selection.

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