plot_interactive_scatter_matrix

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

No annotations are provided, so the description carries the full burden. It only states the type of plot and parameter examples, omitting behavioral details like whether the plot is displayed or saved, required data format, or any side effects. More transparency is needed for a tool with zero 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 short and front-loaded with the purpose. Parameter notes are embedded inline, which is efficient. However, it could be more structured with separate sections for each parameter. Still, no extraneous information.

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 presence of an output schema (known from context), the description doesn't need to explain return values. However, it lacks differentiation from sibling interactive plots and does not mention prerequisites like data file path semantics. It is adequate for basic understanding but not fully complete.

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%, so the description must compensate. It explains that 'columns' is a comma-separated list of numeric column names and 'color_column' is an optional categorical column. However, it does not describe 'title' or 'data_file_path', which are required. Two of four parameters are partially covered, making it adequate but incomplete.

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 generates an interactive Plotly scatter matrix (pair plot equivalent). It provides examples for parameters, making the purpose unambiguous. It distinguishes from siblings like plot_static_pairplot (static vs interactive) and plot_interactive_scatterplot (single scatter vs matrix).

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 implies usage for multiple numeric columns but does not explicitly state when to use this tool vs alternatives. No when-not or alternative mentions are provided, leaving the agent to infer from the tool name and sibling list.

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