visualize_data

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions output format (PNG + JSON) but does not state whether the tool is read-only, has side effects, or how it handles errors or limits. This is insufficient for a tool with no annotation coverage.

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 short sentence that is concise but severely under-specified. It front-loads chart types but omits crucial context, making it inadequately sized for a tool with 7 parameters.

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?

For the tool's complexity (7 parameters, 0% schema descriptions, no annotations), the description is extremely incomplete. It does not explain how to specify data, the content of the JSON spec, or any parameter constraints, leaving an agent without enough information to call it correctly.

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 description coverage is 0%, and the description adds no meaning to parameters like table_name, x_column, y_columns, title, limit, or sql. The only mention of chart types duplicates the enum values, providing no extra semantic value.

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 produces visualizations of specific chart types (bar/line/pie/scatter/area/histogram) and outputs PNG + JSON, making its core purpose clear. However, it does not explicitly mention that it operates on a table or columns, which are evident from the schema, though this is minor.

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 like profile_data or correlation_analysis. There is no mention of prerequisites, typical use cases, or when not to use it.

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