List Dashboard Studio Topics

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

No annotations provided. The description implies a read-only listing operation but does not explicitly state side effects or lack thereof. It provides no detail on potential edge cases or rate limits, which would be beneficial given the lack of annotation.

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 concise sentences convey the purpose, the content returned, and a usage hint. No fluff or redundancy.

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?

As a simple listing tool with no parameters and no output schema, the description provides enough context about what topics are covered. It could optionally mention the format of the returned structure, but that is not essential for basic usage.

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 tool has no parameters and the schema has full coverage (0 params), so there is no additional meaning to add. The description appropriately does not elaborate on non-existent 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 lists all available Dashboard Studio documentation topics, specifying distinct categories such as cheatsheet, definition schema, visualizations guide, and configuration options. This distinguishes it from sibling list_* tools that target other domains.

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?

Explicitly advises when to use the tool ('Use this to discover what Dashboard Studio documentation is available'). Does not explicitly mention when not to use, but the specificity to Dashboard Studio makes the context clear.

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