plot_radar_chart

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

No annotations are provided, so the description must disclose behavioral traits. It fails to mention any side effects, authorization needs, data constraints, or return format beyond 'dict'. This is insufficient for safe invocation.

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 structured with a brief intro and parameter list, but the parameter details mostly duplicate the schema. The intro is two sentences that could be clearer. It is not overly long, but the redundancy reduces efficiency.

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?

With no output schema, no annotations, and three required parameters, the description lacks completeness. It does not explain the expected chart behavior, data format requirements, or how the output dict is structured. This is inadequate for a chart generation tool.

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 the descriptions in both schema and text are nearly identical and contain copy-paste errors (e.g., 'donut plot' for table_name, 'line plot' for labels). The description adds confusing clarification ('Columns mentioned in labels...') that does not compensate for the errors.

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 it generates a radar plot for labels and columns, which distinguishes it from sibling tools like plot_line_chart. However, the description contains unclear phrasing ('Columns mentioned in labels are used as labels and column is used to plot') and errors (e.g., referencing 'donut plot' in parameter descriptions).

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 is provided on when to use this tool versus alternatives or any prerequisites. The description only states what it does without any context for decision-making.

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