plot_boxplot

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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose the output format ('JSON + inline PNG') and the optional grouping behavior, which are useful. However, it omits other behavioral details like interaction with source_id, limitations on group_by categories, or any 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 extremely concise at 8 words with no fluff, but it is so brief that it borders on under-specification. It lacks the structured context that would help an agent understand the tool's purpose and parameters fully.

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 tool has 3 parameters, no output schema, and numerous sibling plot tools, this description is insufficient. It does not explain the required `source_id` and `columns` parameters, contrast with alternatives, or provide enough context to invoke the tool 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?

The schema has 0% description coverage, so the description must compensate. It adds meaning only for `group_by` by noting it is categorical, but says nothing about `source_id` or `columns`. For a box plot, it would be helpful to specify that `columns` should contain numeric fields, but this is absent.

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 identifies the tool as producing a box plot, which distinguishes it from sibling plot tools like scatter, violin, and distribution. The phrase 'Box plot' is a specific resource and action, though it lacks an explicit verb like 'create' or 'generate'.

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 a box plot versus alternatives such as violin or distribution plots. The description does not mention any context, exclusions, or preferred scenarios, leaving the agent to infer usage from the tool name alone.

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