generate_workbook

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that a path is returned, but it does not disclose whether an existing output file is overwritten, whether the CSV must already exist, what failure modes may occur, or that this is a file-creating side effect. This is minimal behavioral context for a generation tool.

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 a single focused sentence that front-loads the core purpose, includes acceptable formats, and states the return value. There is no fluff or repeated schema 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?

The schema fully covers parameters and the description states the return value, but with no annotations and no output schema, the description leaves gaps around overwrite behavior, prerequisites, and error conditions. It is adequate for a straightforward generation tool 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 100%, so every parameter is already described in the schema. The description adds context about the tool's overall behavior but no additional parameter-level meaning beyond what the schema provides; baseline 3 is appropriate.

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 names a specific verb ('Generate'), a concrete resource ('Tableau workbook'), and the inputs and output ('from a CSV file and a natural-language prompt... Returns the path'). This clearly distinguishes it from siblings like publish_to_cloud, preview_workbook, and profile_dataset.

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 use case is implied clearly: use this tool when you want to create a Tableau workbook from a CSV and a prompt. However, there is no explicit guidance on when not to use it or when to prefer a sibling tool such as publish_to_cloud or preview_workbook.

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