generate_custom_static_plot

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

No annotations are present, so the description bears full responsibility. It fails to disclose critical behavioral traits like potential safety risks of executing arbitrary code, lack of sandboxing, or required permissions. The agent is left unaware of possible side effects.

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 a single sentence, front-loading the core purpose. However, it is too terse and omits important details, making it under-specified rather than efficiently concise.

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 complexity of executing custom Python code, the description lacks essential context: no mention of return values, error handling, performance implications, or safety considerations. The output schema is present but not described in the text.

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 description coverage, the description adds no meaning to the three parameters (python_code, data_file_path, plot_filename_keyword). It does not explain expected formats, constraints, or examples for any parameter.

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 the verb 'executes' and the resource 'custom Python code (plt, sns, pd)' to generate complex static charts. It distinguishes from siblings like predefined static plot tools and generate_custom_plotly for interactive charts.

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?

The phrase 'complex static charts' implies use when predefined plots are insufficient, but no explicit guidance on when not to use or alternatives is provided. Usage context is implied but not fully articulated.

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