generate_violin_chart

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

Annotations provide readOnlyHint=true, indicating this is a safe read operation. The description adds some behavioral context by explaining what the chart visualizes ('statistical summaries among different categories') and the grouping mechanism. However, it doesn't disclose important behavioral traits like whether this generates an image file, returns a URL, or has any rate limits. The description doesn't contradict annotations, but adds only moderate value beyond them.

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 appropriately concise at two sentences. The first sentence clearly states the tool's purpose, and the second provides additional context about its use case. There's no wasted language, though it could be slightly more front-loaded with more specific guidance.

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 (8 parameters with nested objects, no output schema), the description is minimally adequate. It covers the basic purpose but lacks details about what the tool returns (image, URL, etc.), performance characteristics, or error conditions. With rich schema coverage but no output schema and multiple sibling alternatives, the description should provide more contextual guidance about when this specific visualization is appropriate.

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 100% schema description coverage, the schema comprehensively documents all 8 parameters. The description mentions 'data for statistical summaries among different categories' and 'comparing the distribution of data points across categories,' which provides high-level context about the 'data' parameter's purpose. However, it adds minimal semantic value beyond what's already in the schema descriptions for individual parameters.

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 purpose: 'Generate a violin chart to show data for statistical summaries among different categories.' It specifies the verb ('generate'), resource ('violin chart'), and intended use case ('show data for statistical summaries among different categories'). However, it doesn't explicitly differentiate from sibling tools like 'generate_boxplot_chart' or 'generate_histogram_chart' which also show statistical distributions, missing full sibling differentiation.

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 provides minimal usage guidance. It mentions 'comparing the distribution of data points across categories' which implies when to use it, but offers no explicit guidance on when to choose this over alternatives like box plots or histograms from the sibling list. There are no exclusions, prerequisites, or named alternatives provided.

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