generate_custom_plotly

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

The description fails to disclose that this tool executes arbitrary Python code, a significant security and behavioral risk. It does not mention error handling, output format, or side effects like file saving, despite a plot_filename_keyword parameter.

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 concise as a single sentence, but it sacrifices essential information for brevity. It could be restructured to include key details without becoming verbose.

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 complexity (custom code execution) and lack of parameter descriptions, the description is woefully incomplete. It does not explain input constraints, expected code patterns, or output behavior, which is critical for safe and effective use.

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?

With 0% schema coverage, the description should compensate but adds no meaningful explanation of parameters. It does not clarify what python_code, data_file_path, or plot_filename_keyword represent or how they relate to each other.

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 clearly states it executes custom Python code to generate complex Plotly charts, which distinguishes it from sibling tools that create predefined chart types. However, the hint about px and pd is vague for new users.

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 explicit guidance on when to use this custom code tool versus the many predefined plotting tools provided. Usage is only implied by the 'custom' and 'complex' language.

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