Auto Chart

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, covering safety and idempotency. The description adds the core auto-detection behavior, which is valuable beyond annotations. It does not contradict annotations.

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?

Two sentences, front-loaded, every word earns its place. No unnecessary 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?

For a low-complexity tool with strong annotations and moderate schema, the description provides enough context (auto-detection, input flexibility). The lack of output schema is partially mitigated by the description's mention of 'visualization'.

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 coverage is 67% with descriptions for title and options.preferredType. The tool description adds context for the 'data' parameter ('arrays, objects, nested structures'), which is not fully detailed in the schema (type missing). This provides moderate added 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 clearly states the tool's action: automatically detects the best chart type for arbitrary JSON data. It distinguishes itself from sibling tools that produce specific chart types (e.g., render_bar_chart) by emphasizing auto-detection.

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 when you have arbitrary JSON and want automatic chart selection, but it does not explicitly declare when to use this tool versus the many specific chart renderers (e.g., render_bar_chart). No guidance on when not to use or prerequisites is provided.

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