data_visualization_generator

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

With no annotations, the description carries the full burden. It clearly states the tool does not render images, describes the output format, and lists supported types. However, it does not discuss data handling limitations (e.g., size cap of 10000 objects) or any other side effects, missing a chance for deeper transparency.

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 extremely concise: a single sentence that front-loads the primary action ('Generate a chart specification'), distinguishes it from rendering, lists supported types, and states the output. Every word adds value with no redundancy.

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 6 parameters (3 required), no output schema, and nested objects, the description adequately covers purpose and output format. It mentions 'rendering instructions' and 'usage guidance' in the return, but does not explain what these entail or how to interpret the spec. Moderate completeness.

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 parameter coverage is 100%, so the baseline is 3. The description does not add new parameter meaning beyond listing supported visualization types, which is already in the schema. No extra details on parameters like 'options' or 'variables' are provided.

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 tool's function: generating a Vega-Lite chart specification and rendering instructions, emphasizing it does not render images. It lists the supported chart types, providing a specific verb and resource. The sibling tools include statistical analysis and modeling, so this tool's visualization focus is distinct.

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 description explains the output (markdown report with spec and usage guidance) but provides no explicit guidance on when to use this tool versus siblings like advanced_statistical_analysis or ml_model_evaluation. The lack of 'when not to use' or alternative comparisons reduces clarity.

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