create_dataset_from_csv

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

With no annotations, the description discloses important behaviors: the CSV requirement for a name column, the effect on entity enrichment quality based on additional columns, and file size limitations. It does not cover authentication specifics or rate limits, but adequately describes the core behavior beyond the schema.

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 concise, with two informative sentences. It front-loads the primary purpose and then provides necessary details without extraneous 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?

Given the tool's complexity (5 parameters, no annotations, but has output schema), the description covers most essential aspects: input requirements, recommended columns, file size note, and alternative tool. It lacks details on output but the output schema likely fills that gap.

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 the baseline is 3. The description adds extra semantic value by explaining the role of 'name', 'domain', and 'description' columns in enrichment, which goes beyond the schema's parameter descriptions.

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 'Create a new dataset by uploading a CSV file', specifying the action, resource, and method. It also distinguishes from the sibling tool 'append_csv_to_dataset' by mentioning it is for new datasets only.

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 provides conditions for usage: required 'name' column, recommended 'domain' and 'description' columns for better enrichment, and max file size dependency. Also directs users to 'append_csv_to_dataset' for adding to existing datasets, giving clear when-to-use and when-not-to-use guidance.

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